YP Liu (YP-Liu)

YP-Liu

Geek Repo

Company:Sensetime

Location:Beijing

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YP Liu's starred repositories

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Stargazers:4454Issues:0Issues:0

Awesome_Prompting_Papers_in_Computer_Vision

A curated list of prompt-based paper in computer vision and vision-language learning.

Stargazers:873Issues:0Issues:0

Awesome-Hyperbolic-Representation-and-Deep-Learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Stargazers:258Issues:0Issues:0

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6818Issues:0Issues:0

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Language:HTMLLicense:MITStargazers:10481Issues:0Issues:0

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:23724Issues:0Issues:0

IOMatch

[ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization

Language:Jupyter NotebookLicense:MITStargazers:49Issues:0Issues:0

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

Language:PythonStargazers:1549Issues:0Issues:0

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:3300Issues:0Issues:0

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

Stargazers:2694Issues:0Issues:0

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

License:MITStargazers:1461Issues:0Issues:0

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Language:PythonLicense:MITStargazers:796Issues:0Issues:0

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

License:MITStargazers:1746Issues:0Issues:0

Awesome-Realistic-Semi-Supervised-Learning

An awesome paper list of Semi-Supervised Learning under realistic settings.

Language:ShellStargazers:84Issues:0Issues:0

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

Stargazers:640Issues:0Issues:0

awesome-curriculum-learning

some bravo or inspiring research works on the topic of curriculum learning

Stargazers:209Issues:0Issues:0

hyperbolic_representation_learning

The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022

Language:Jupyter NotebookLicense:MITStargazers:58Issues:0Issues:0

Awesome-Hyperbolic-NeuralNetworks

Papers and Codes for the deep learning in hyperbolic space

Stargazers:169Issues:0Issues:0

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Language:PythonLicense:MITStargazers:1416Issues:0Issues:0

stable-diffusion

A latent text-to-image diffusion model

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:66767Issues:0Issues:0

Single_Object_Tracking_Paper_List

Paper list for single object tracking (State-of-the-art SOT trackers)

Stargazers:377Issues:0Issues:0

unicom

[ICLR 2023] Unicom: Universal and Compact Representation Learning for Image Retrieval

Language:PythonStargazers:207Issues:0Issues:0

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:45668Issues:0Issues:0
License:MITStargazers:3336Issues:0Issues:0

awesome-human-pose-estimation

Human Pose Estimation Related Publication

Stargazers:1325Issues:0Issues:0

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

Stargazers:6067Issues:0Issues:0

RNCDL

[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".

Language:PythonLicense:MITStargazers:108Issues:0Issues:0

Open-World-Tracking

Official code for "Opening up Open World Tracking" (CVPR 2022)

Language:PythonStargazers:54Issues:0Issues:0

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Stargazers:1035Issues:0Issues:0

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Stargazers:1477Issues:0Issues:0