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A complete computer science study plan to become a software engineer.
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 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.
a.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.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Tensors and Dynamic neural networks in Python with strong GPU acceleration
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Examples and guides for using the OpenAI API
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A high-throughput and memory-efficient inference and serving engine for LLMs
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
aider is AI pair programming in your terminal
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A generative speech model for daily dialogue.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Visualizer for neural network, deep learning and machine learning models
DSPy: The framework for programming—not prompting—language models
You like pytorch? You like micrograd? You love tinygrad! ❤️