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tutorials made for biologists to learn deep learning
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code for deep learning courses
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
Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)
Practical course about Large Language Models.
10 Weeks, 20 Lessons, Data Science for All!
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained