Yining Li

Pytorch implementation of the CVPR 2019 paper Dense Intrinsic Appearance Flow for Human Pose Transfer.

OpenMMLab Image Classification Toolbox and Benchmark

OpenMMLab Pose Estimation Toolbox and Benchmark.

[arXiv preprint] The official code of paper "Open-Vocabulary SAM".

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This is a Scrapy-based web-spider. It scrapes papers from TOP conferences, including CVPR, NIPS, ICLR, etc...

OpenMMLab Computer Vision Foundation

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Official code for MIG

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.

A framework for prompt tuning using Intent-based Prompt Calibration

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

InternLM has open-sourced 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.

OpenMMLab Text Detection, Recognition and Understanding Toolbox

PyTorch Sphinx Theme

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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OpenMMLab Foundational Library for Training Deep Learning Models

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OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A template to build demos and applications using MMPose Webcam API

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Extended COCO-API

Neural network visualizer and analyzer

Open-source simulator for autonomous driving research.

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

A generative model conditioned on shape and appearance.

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A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

2048x1024 image synthesis and mainpulation with conditional GANs

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

image captioning model in pytorch(finetunable cnn in branch "with_finetune")

Datasets, Transforms and Models specific to Computer Vision

Caffe fork that supports SPP_net or faster R-CNN