Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
TranslatedChatGLM-6B: An Open Bilingual Dialogue Language Model | Open-source bilingual dialogue language model
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
A generative speech model for daily dialogue.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Easily train a good VC model with voice data <= 10 mins!
DSPy: The framework for programming—not prompting—language models
Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more
SGLang is a high-performance serving framework for large language models and multimodal models.
Instant voice cloning by MIT and MyShell. Audio foundation model.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Official Code for DragGAN (SIGGRAPH 2023)
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
Build and run agents you can see, understand and trust.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Let us control diffusion models!
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 learning.