Stars
ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.
[NeurIPS 2025] Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
PyTorch implementation of "UNIT: Unifying Image and Text Recognition in One Vision Encoder", NeurlPS 2024.
Official repository for "AM-RADIO: Reduce All Domains Into One"
Speed up Stable Diffusion with this one simple trick!
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
A family of compressed models obtained via pruning and knowledge distillation
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
PyTorch code and models for the DINOv2 self-supervised learning method.
[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Blaz: a library for frugal matrix computations. Blaz provides compression/uncompression functions for matrices of floating-point numbers and makes it possible to perform basic linear algebra on the…
Convert Machine Learning Code Between Frameworks
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
⎈❏ Terminal and Web console for Kubernetes
[ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDF
Input pipelines for large scale, sharded training of deep learning models.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Caffe2 is a lightweight, modular, and scalable deep learning framework.
TensorFlow-based neural network library
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Web interface for browsing, search and filtering recent arxiv submissions
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!