🤗 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.
158.7k
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
98.7k
9y 9mo old
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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2y 8mo old
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
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3y 4mo old
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
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Learn how to develop, deploy and iterate on production-grade ML applications.
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🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Making large AI models cheaper, faster and more accessible
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4y 5mo old
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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