Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Star & Fork Trend (41 data points)
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Denis2054/Transformers-for-NLP-2nd-Edition has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | Transformers-for-NLP-2nd-Edition | Coursera-ML-using-matlab-python | semantica | machine-learning-toy-code |
|---|---|---|---|---|
| Stars | 960 | 960 | 960 | 959 |
| Forks | 357 | 366 | 155 | 196 |
| Weekly Growth | +0 | +0 | +15 | +0 |
| Language | Jupyter Notebook | Jupyter Notebook | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | MIT |
Capability Radar vs Coursera-ML-using-matlab-python
Last code push 825 days ago.
Fork-to-star ratio: 37.2%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
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