TorBT - Torrents and Magnet Links Search Engine
[FreeCourseSite.com] Udemy - Natural Language Processing NLP With Transformers in Python
- Date: 2025-05-06
- Size: 3.6 GB
- Files: 281
File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Introduction-en_US.srt
3.0 kB
1. Introduction/1. Introduction.mp4
9.2 MB
1. Introduction/2. Course Overview-en_US.srt
7.8 kB
1. Introduction/2. Course Overview.mp4
34 MB
1. Introduction/2. External URLs.txt
58 B
1. Introduction/3. Environment Setup-en_US.srt
7.1 kB
1. Introduction/3. Environment Setup.mp4
31 MB
1. Introduction/3. External URLs.txt
98 B
1. Introduction/4. CUDA Setup-en_US.srt
3.4 kB
1. Introduction/4. CUDA Setup.mp4
40 MB
1. Introduction/4. External URLs.txt
98 B
1. Introduction/Alternative Colab Setup.html
3.5 kB
1. Introduction/Alternative Local Setup.html
2.4 kB
10. Metrics For Language/1. External URLs.txt
112 B
10. Metrics For Language/1. Q&A Performance With Exact Match (EM)-en_US.srt
5.3 kB
10. Metrics For Language/1. Q&A Performance With Exact Match (EM).mp4
16 MB
10. Metrics For Language/2. External URLs.txt
106 B
10. Metrics For Language/2. ROUGE in Python-en_US.srt
4.3 kB
10. Metrics For Language/2. ROUGE in Python.mp4
18 MB
10. Metrics For Language/3. Applying ROUGE to Q&A-en_US.srt
8.2 kB
10. Metrics For Language/3. Applying ROUGE to Q&A.mp4
31 MB
10. Metrics For Language/3. External URLs.txt
114 B
10. Metrics For Language/4. External URLs.txt
106 B
10. Metrics For Language/4. Recall, Precision and F1-en_US.srt
5.2 kB
10. Metrics For Language/4. Recall, Precision and F1.mp4
16 MB
10. Metrics For Language/5. External URLs.txt
106 B
10. Metrics For Language/5. Longest Common Subsequence (LCS)-en_US.srt
2.9 kB
10. Metrics For Language/5. Longest Common Subsequence (LCS).mp4
9.9 MB
10. Metrics For Language/6. External URLs.txt
106 B
10. Metrics For Language/6. Q&A Performance With ROUGE-en_US.srt
4.0 kB
10. Metrics For Language/6. Q&A Performance With ROUGE.mp4
12 MB
11. Reader-Retriever QA With Haystack/1. External URLs.txt
109 B
11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack-en_US.srt
3.7 kB
11. Reader-Retriever QA With Haystack/1. Intro to Retriever-Reader and Haystack.mp4
14 MB
11. Reader-Retriever QA With Haystack/10. External URLs.txt
118 B
11. Reader-Retriever QA With Haystack/10. FAISS in Haystack-en_US.srt
13 kB
11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.mp4
80 MB
11. Reader-Retriever QA With Haystack/11. External URLs.txt
252 B
11. Reader-Retriever QA With Haystack/11. What is DPR-en_US.srt
8.2 kB
11. Reader-Retriever QA With Haystack/11. What is DPR.mp4
19 MB
11. Reader-Retriever QA With Haystack/12. External URLs.txt
252 B
11. Reader-Retriever QA With Haystack/12. The DPR Architecture-en_US.srt
2.2 kB
11. Reader-Retriever QA With Haystack/12. The DPR Architecture.mp4
8.9 MB
11. Reader-Retriever QA With Haystack/13. External URLs.txt
107 B
11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack-en_US.srt
11 kB
11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.mp4
103 MB
11. Reader-Retriever QA With Haystack/2. External URLs.txt
181 B
11. Reader-Retriever QA With Haystack/2. What is Elasticsearch-en_US.srt
6.9 kB
11. Reader-Retriever QA With Haystack/2. What is Elasticsearch.mp4
16 MB
11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows)-en_US.srt
2.0 kB
11. Reader-Retriever QA With Haystack/3. Elasticsearch Setup (Windows).mp4
25 MB
11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux)-en_US.srt
1.9 kB
11. Reader-Retriever QA With Haystack/4. Elasticsearch Setup (Linux).mp4
22 MB
11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack-en_US.srt
8.3 kB
11. Reader-Retriever QA With Haystack/5. Elasticsearch in Haystack.mp4
46 MB
11. Reader-Retriever QA With Haystack/5. External URLs.txt
120 B
11. Reader-Retriever QA With Haystack/6. External URLs.txt
120 B
11. Reader-Retriever QA With Haystack/6. Sparse Retrievers-en_US.srt
4.0 kB
11. Reader-Retriever QA With Haystack/6. Sparse Retrievers.mp4
12 MB
11. Reader-Retriever QA With Haystack/7. Cleaning the Index-en_US.srt
5.0 kB
11. Reader-Retriever QA With Haystack/7. Cleaning the Index.mp4
30 MB
11. Reader-Retriever QA With Haystack/7. External URLs.txt
120 B
11. Reader-Retriever QA With Haystack/8. External URLs.txt
120 B
11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever-en_US.srt
2.4 kB
11. Reader-Retriever QA With Haystack/8. Implementing a BM25 Retriever.mp4
8.8 MB
11. Reader-Retriever QA With Haystack/9. External URLs.txt
235 B
11. Reader-Retriever QA With Haystack/9. What is FAISS-en_US.srt
9.5 kB
11. Reader-Retriever QA With Haystack/9. What is FAISS.mp4
29 MB
11. Reader-Retriever QA With Haystack/Further Materials for Faiss.html
3.7 kB
12. [Project] Open-Domain QA/1. ODQA Stack Structure-en_US.srt
1.9 kB
12. [Project] Open-Domain QA/1. ODQA Stack Structure.mp4
6.2 MB
12. [Project] Open-Domain QA/2. Creating the Database-en_US.srt
7.4 kB
12. [Project] Open-Domain QA/2. Creating the Database.mp4
65 MB
12. [Project] Open-Domain QA/2. External URLs.txt
219 B
12. [Project] Open-Domain QA/3. Building the Haystack Pipeline-en_US.srt
8.6 kB
12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.mp4
80 MB
12. [Project] Open-Domain QA/3. External URLs.txt
132 B
13. Similarity/1. Introduction to Similarity-en_US.srt
7.6 kB
13. Similarity/1. Introduction to Similarity.mp4
28 MB
13. Similarity/2. Extracting The Last Hidden State Tensor-en_US.srt
5.4 kB
13. Similarity/2. Extracting The Last Hidden State Tensor.mp4
36 MB
13. Similarity/3. Sentence Vectors With Mean Pooling-en_US.srt
7.7 kB
13. Similarity/3. Sentence Vectors With Mean Pooling.mp4
37 MB
13. Similarity/4. Using Cosine Similarity-en_US.srt
5.6 kB
13. Similarity/4. Using Cosine Similarity.mp4
29 MB
13. Similarity/5. Similarity With Sentence-Transformers-en_US.srt
4.0 kB
13. Similarity/5. Similarity With Sentence-Transformers.mp4
20 MB
13. Similarity/Further Learning.html
322 B
14. Pre-Training Transformer Models/1. Visual Guide to BERT Pretraining-en_US.srt
9.3 kB
14. Pre-Training Transformer Models/1. Visual Guide to BERT Pretraining.mp4
29 MB
14. Pre-Training Transformer Models/10. External URLs.txt
103 B
14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation-en_US.srt
14 kB
14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation.mp4
105 MB
14. Pre-Training Transformer Models/11. External URLs.txt
103 B
14. Pre-Training Transformer Models/11. Pre-training with NSP - DataLoader-en_US.srt
3.2 kB
14. Pre-Training Transformer Models/11. Pre-training with NSP - DataLoader.mp4
16 MB
14. Pre-Training Transformer Models/12. External URLs.txt
108 B
14. Pre-Training Transformer Models/12. The Logic of MLM and NSP-en_US.srt
5.2 kB
14. Pre-Training Transformer Models/12. The Logic of MLM and NSP.mp4
38 MB
14. Pre-Training Transformer Models/13. External URLs.txt
111 B
14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation-en_US.srt
8.6 kB
14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation.mp4
62 MB
14. Pre-Training Transformer Models/2. External URLs.txt
95 B
14. Pre-Training Transformer Models/2. Introduction to BERT For Pretraining Code-en_US.srt
4.9 kB
14. Pre-Training Transformer Models/2. Introduction to BERT For Pretraining Code.mp4
38 MB
14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM)-en_US.srt
8.9 kB
14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).mp4
67 MB
14. Pre-Training Transformer Models/3. External URLs.txt
95 B
14. Pre-Training Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP)-en_US.srt
6.7 kB
14. Pre-Training Transformer Models/4. BERT Pretraining - Next Sentence Prediction (NSP).mp4
48 MB
14. Pre-Training Transformer Models/4. External URLs.txt
95 B
14. Pre-Training Transformer Models/5. External URLs.txt
106 B
14. Pre-Training Transformer Models/5. The Logic of MLM-en_US.srt
13 kB
14. Pre-Training Transformer Models/5. The Logic of MLM.mp4
106 MB
14. Pre-Training Transformer Models/6. External URLs.txt
103 B
14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation-en_US.srt
13 kB
14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation.mp4
114 MB
14. Pre-Training Transformer Models/7. External URLs.txt
103 B
14. Pre-Training Transformer Models/7. Pre-training with MLM - Training-en_US.srt
13 kB
14. Pre-Training Transformer Models/7. Pre-training with MLM - Training.mp4
79 MB
14. Pre-Training Transformer Models/8. External URLs.txt
111 B
14. Pre-Training Transformer Models/8. Pre-training with MLM - Training with Trainer-en_US.srt
3.2 kB
14. Pre-Training Transformer Models/8. Pre-training with MLM - Training with Trainer.mp4
22 MB
14. Pre-Training Transformer Models/9. External URLs.txt
106 B
14. Pre-Training Transformer Models/9. The Logic of NSP-en_US.srt
4.4 kB
14. Pre-Training Transformer Models/9. The Logic of NSP.mp4
27 MB
2. NLP and Transformers/1. The Three Eras of AI-en_US.srt
7.4 kB
2. NLP and Transformers/1. The Three Eras of AI.mp4
22 MB
2. NLP and Transformers/10. Transformer Heads-en_US.srt
10 kB
2. NLP and Transformers/10. Transformer Heads.mp4
28 MB
2. NLP and Transformers/2. External URLs.txt
364 B
2. NLP and Transformers/2. Pros and Cons of Neural AI-en_US.srt
5.2 kB
2. NLP and Transformers/2. Pros and Cons of Neural AI.mp4
18 MB
2. NLP and Transformers/3. Word Vectors-en_US.srt
4.9 kB
2. NLP and Transformers/3. Word Vectors.mp4
14 MB
2. NLP and Transformers/4. Recurrent Neural Networks-en_US.srt
4.3 kB
2. NLP and Transformers/4. Recurrent Neural Networks.mp4
12 MB
2. NLP and Transformers/5. Long Short-Term Memory-en_US.srt
2.1 kB
2. NLP and Transformers/5. Long Short-Term Memory.mp4
4.3 MB
2. NLP and Transformers/6. Encoder-Decoder Attention-en_US.srt
5.8 kB
2. NLP and Transformers/6. Encoder-Decoder Attention.mp4
25 MB
2. NLP and Transformers/7. Self-Attention-en_US.srt
4.5 kB
2. NLP and Transformers/7. Self-Attention.mp4
13 MB
2. NLP and Transformers/8. Multi-head Attention-en_US.srt
3.1 kB
2. NLP and Transformers/8. Multi-head Attention.mp4
7.7 MB
2. NLP and Transformers/9. Positional Encoding-en_US.srt
9.3 kB
2. NLP and Transformers/9. Positional Encoding.mp4
56 MB
3. Preprocessing for NLP/1. External URLs.txt
105 B
3. Preprocessing for NLP/1. Stopwords-en_US.srt
6.0 kB
3. Preprocessing for NLP/1. Stopwords.mp4
29 MB
3. Preprocessing for NLP/2. External URLs.txt
102 B
3. Preprocessing for NLP/2. Tokens Introduction-en_US.srt
8.1 kB
3. Preprocessing for NLP/2. Tokens Introduction.mp4
18 MB
3. Preprocessing for NLP/3. External URLs.txt
102 B
3. Preprocessing for NLP/3. Model-Specific Special Tokens-en_US.srt
6.8 kB
3. Preprocessing for NLP/3. Model-Specific Special Tokens.mp4
14 MB
3. Preprocessing for NLP/4. External URLs.txt
104 B
3. Preprocessing for NLP/4. Stemming-en_US.srt
6.2 kB
3. Preprocessing for NLP/4. Stemming.mp4
15 MB
3. Preprocessing for NLP/5. External URLs.txt
109 B
3. Preprocessing for NLP/5. Lemmatization-en_US.srt
4.1 kB
3. Preprocessing for NLP/5. Lemmatization.mp4
8.0 MB
3. Preprocessing for NLP/6. External URLs.txt
109 B
3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence-en_US.srt
6.3 kB
3. Preprocessing for NLP/6. Unicode Normalization - Canonical and Compatibility Equivalence.mp4
14 MB
3. Preprocessing for NLP/7. External URLs.txt
109 B
3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition-en_US.srt
5.5 kB
3. Preprocessing for NLP/7. Unicode Normalization - Composition and Decomposition.mp4
13 MB
3. Preprocessing for NLP/8. External URLs.txt
109 B
3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC-en_US.srt
6.0 kB
3. Preprocessing for NLP/8. Unicode Normalization - NFD and NFC.mp4
16 MB
3. Preprocessing for NLP/9. External URLs.txt
109 B
3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC-en_US.srt
8.3 kB
3. Preprocessing for NLP/9. Unicode Normalization - NFKD and NFKC.mp4
24 MB
4. Attention/1. Attention Introduction-en_US.srt
2.6 kB
4. Attention/1. Attention Introduction.mp4
16 MB
4. Attention/1. External URLs.txt
99 B
4. Attention/2. Alignment With Dot-Product-en_US.srt
13 kB
4. Attention/2. Alignment With Dot-Product.mp4
54 MB
4. Attention/2. External URLs.txt
113 B
4. Attention/3. Dot-Product Attention-en_US.srt
5.3 kB
4. Attention/3. Dot-Product Attention.mp4
16 MB
4. Attention/3. External URLs.txt
113 B
4. Attention/4. External URLs.txt
174 B
4. Attention/4. Self Attention-en_US.srt
6.0 kB
4. Attention/4. Self Attention.mp4
15 MB
4. Attention/5. Bidirectional Attention-en_US.srt
2.8 kB
4. Attention/5. Bidirectional Attention.mp4
6.0 MB
4. Attention/5. External URLs.txt
115 B
4. Attention/6. External URLs.txt
111 B
4. Attention/6. Multi-head and Scaled Dot-Product Attention-en_US.srt
6.8 kB
4. Attention/6. Multi-head and Scaled Dot-Product Attention.mp4
19 MB
5. Language Classification/1. External URLs.txt
130 B
5. Language Classification/1. Introduction to Sentiment Analysis-en_US.srt
9.7 kB
5. Language Classification/1. Introduction to Sentiment Analysis.mp4
25 MB
5. Language Classification/2. External URLs.txt
126 B
5. Language Classification/2. Prebuilt Flair Models-en_US.srt
9.0 kB
5. Language Classification/2. Prebuilt Flair Models.mp4
24 MB
5. Language Classification/3. External URLs.txt
133 B
5. Language Classification/3. Introduction to Sentiment Models With Transformers-en_US.srt
6.8 kB
5. Language Classification/3. Introduction to Sentiment Models With Transformers.mp4
37 MB
5. Language Classification/4. External URLs.txt
133 B
5. Language Classification/4. Tokenization And Special Tokens For BERT-en_US.srt
8.1 kB
5. Language Classification/4. Tokenization And Special Tokens For BERT.mp4
86 MB
5. Language Classification/5. External URLs.txt
133 B
5. Language Classification/5. Making Predictions-en_US.srt
6.6 kB
5. Language Classification/5. Making Predictions.mp4
24 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview-en_US.srt
3.3 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/1. Project Overview.mp4
12 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/2. External URLs.txt
128 B
6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API)-en_US.srt
8.0 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/2. Getting the Data (Kaggle API).mp4
52 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/3. External URLs.txt
128 B
6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing-en_US.srt
15 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.mp4
92 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset-en_US.srt
5.8 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/4. Building a Dataset.mp4
28 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/4. External URLs.txt
129 B
6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save-en_US.srt
7.3 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/5. Dataset Shuffle, Batch, Split, and Save.mp4
37 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/5. External URLs.txt
129 B
6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save-en_US.srt
14 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.mp4
110 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/6. External URLs.txt
130 B
6. [Project] Sentiment Model With TensorFlow and Transformers/7. External URLs.txt
131 B
6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction-en_US.srt
11 kB
6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.mp4
82 MB
7. Long Text Classification With BERT/1. Classification of Long Text Using Windows-en_US.srt
23 kB
7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.mp4
138 MB
7. Long Text Classification With BERT/1. External URLs.txt
264 B
7. Long Text Classification With BERT/2. External URLs.txt
130 B
7. Long Text Classification With BERT/2. Window Method in PyTorch-en_US.srt
16 kB
7. Long Text Classification With BERT/2. Window Method in PyTorch.mp4
100 MB
8. Named Entity Recognition (NER)/1. External URLs.txt
165 B
8. Named Entity Recognition (NER)/1. Introduction to spaCy-en_US.srt
9.0 kB
8. Named Entity Recognition (NER)/1. Introduction to spaCy.mp4
62 MB
8. Named Entity Recognition (NER)/2. External URLs.txt
121 B
8. Named Entity Recognition (NER)/2. Extracting Entities-en_US.srt
6.4 kB
8. Named Entity Recognition (NER)/2. Extracting Entities.mp4
37 MB
8. Named Entity Recognition (NER)/3. Authenticating With The Reddit API-en_US.srt
7.5 kB
8. Named Entity Recognition (NER)/3. Authenticating With The Reddit API.mp4
43 MB
8. Named Entity Recognition (NER)/3. External URLs.txt
126 B
8. Named Entity Recognition (NER)/4. External URLs.txt
126 B
8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API-en_US.srt
12 kB
8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API.mp4
103 MB
8. Named Entity Recognition (NER)/5. External URLs.txt
247 B
8. Named Entity Recognition (NER)/5. Extracting ORGs From Reddit Data-en_US.srt
6.4 kB
8. Named Entity Recognition (NER)/5. Extracting ORGs From Reddit Data.mp4
32 MB
8. Named Entity Recognition (NER)/6. External URLs.txt
128 B
8. Named Entity Recognition (NER)/6. Getting Entity Frequency-en_US.srt
3.8 kB
8. Named Entity Recognition (NER)/6. Getting Entity Frequency.mp4
20 MB
8. Named Entity Recognition (NER)/7. Entity Blacklist-en_US.srt
3.8 kB
8. Named Entity Recognition (NER)/7. Entity Blacklist.mp4
22 MB
8. Named Entity Recognition (NER)/7. External URLs.txt
128 B
8. Named Entity Recognition (NER)/8. External URLs.txt
124 B
8. Named Entity Recognition (NER)/8. NER With Sentiment-en_US.srt
19 kB
8. Named Entity Recognition (NER)/8. NER With Sentiment.mp4
84 MB
8. Named Entity Recognition (NER)/9. External URLs.txt
129 B
8. Named Entity Recognition (NER)/9. NER With roBERTa-en_US.srt
9.9 kB
8. Named Entity Recognition (NER)/9. NER With roBERTa.mp4
95 MB
9. Question and Answering/1. External URLs.txt
112 B
9. Question and Answering/1. Open Domain and Reading Comprehension-en_US.srt
3.4 kB
9. Question and Answering/1. Open Domain and Reading Comprehension.mp4
10 MB
9. Question and Answering/2. External URLs.txt
112 B
9. Question and Answering/2. Retrievers, Readers, and Generators-en_US.srt
6.8 kB
9. Question and Answering/2. Retrievers, Readers, and Generators.mp4
20 MB
9. Question and Answering/3. External URLs.txt
114 B
9. Question and Answering/3. Intro to SQuAD 2.0-en_US.srt
6.4 kB
9. Question and Answering/3. Intro to SQuAD 2.0.mp4
23 MB
9. Question and Answering/4. External URLs.txt
127 B
9. Question and Answering/4. Processing SQuAD Training Data-en_US.srt
6.8 kB
9. Question and Answering/4. Processing SQuAD Training Data.mp4
52 MB
9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case-en_US.srt
4.9 kB
9. Question and Answering/5. (Optional) Processing SQuAD Training Data with Match-Case.mp4
35 MB
9. Question and Answering/5. External URLs.txt
271 B
9. Question and Answering/6. External URLs.txt
115 B
9. Question and Answering/6. Our First Q&A Model-en_US.srt
8.7 kB
9. Question and Answering/6. Our First Q&A Model.mp4
53 MB