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A complete computer science study plan to become a software engineer.
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.
Master the command line, in one page
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
real time face swap and one-click video deepfake with only a single image
A latent text-to-image diffusion model
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A natural language interface for computers
The definitive Web UI for local AI, with powerful features and easy setup.
Making large AI models cheaper, faster and more accessible
A library for efficient similarity search and clustering of dense vectors.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official Code for DragGAN (SIGGRAPH 2023)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Cross-platform, customizable ML solutions for live and streaming media.
OpenMMLab Detection Toolbox and Benchmark
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Code and documentation to train Stanford's Alpaca models, and generate the data.
A playbook for systematically maximizing the performance of deep learning models.