AiLearning-Theory-Applying
Machine-Learning Open Source快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
★ 3,577 Stars
⑂ 477 Forks
License: MIT License
About AiLearning-Theory-Applying
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
Supported Platforms
ai bert dataming deep-learning kaggle-competition learning-by-doing machine-learning nlp
Related in Machine-Learning
tensorflow
An Open Source Machine Learning Framework for Everyone
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all