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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
OpenMMLab Detection Toolbox and Benchmark
Graph Neural Network Library for PyTorch
Python composable command line interface toolkit
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Matplotlib styles for scientific plotting
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Flops counter for neural networks in pytorch framework
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Implementing DeepSeek R1's GRPO algorithm from scratch
OpenMMLab Foundational Library for Training Deep Learning Models
🩹Editing large language models within 10 seconds⚡
Processed / Cleaned Data for Paper Copilot
Official implementation of Inductive Moment Matching
Make drawing and labeling bounding boxes a piece of cake
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools…
[ICML 2025] Gaussian Mixture Flow Matching Models (GMFlow)
A Unified Framework for High-Performance and Extensible LLM Steering
[NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Bayesian Low-Rank Adaptation for Large Language Models