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Lightning fast C++/CUDA neural network framework
This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Train transformer language models with reinforcement learning.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 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.
Copilot Chat extension for VS Code
A storage solution for PyTorch tensors with distributed tensor support.
Evaluation and Tracking for LLM Experiments and AI Agents
Implement a reasoning LLM in PyTorch from scratch, step by step
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A model-driven approach to building AI agents in just a few lines of code.
💫 Toolkit to help you get started with Spec-Driven Development
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The AI sensor processing SDK for low latency streaming workflows
Code for exploring surface electromyography (sEMG) data and training models associated with Reality Labs' paper
A cross platform Bluetooth Low Energy Client for Python using asyncio
A standard framework for modelling Deep Learning Models for tabular data
The NVIDIA AIQToolkit UI streamlines interacting with AIQToolkit workflows in an easy-to-use web application.
PyTorch code and models for V-JEPA self-supervised learning from video.