liuruiyang98

VanillaNet. Python

denoise. A generic denoising method for 1D spectra based on singular value decomposition

GaborNet. Python

GAPA. TKDE 2023: Automatic Context Pattern Generation for Entity Set Expansion

metaformer. MetaFormer Baselines for Vision (TPAMI 2024)

detrex. detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

JSeg. JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

awesome-image-classification. A curated list of deep learning image classification papers and codes

JNeRF. JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.

SegLossOdyssey. A collection of loss functions for medical image segmentation

YOCO. Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

sequencer. Sequencer: Deep LSTM for Image Classification

PaddleSeg. Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Solving_ImageNet. Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)

PaddleViT. :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

ProbExpan. SIGIR 2022: Contrastive Learning with Hard Negative Entities for Entity Set Expansion

maxim. [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

Spiking-Neural-Network. Pure python implementation of SNN

Awesome-CVPR2024-Low-Level-Vision. A Collection of Papers and Codes in CVPR2023/2022 about low level vision

LayerCAM-jittor. The official code for our TIP paper 'LayerCAM: Exploring Hierarchical Class Activation Maps for Localization'

sota-backbones. A collection of SOTA Image Classification Models in PyTorch

linear-attention-transformer. Transformer based on a variant of attention that is linear complexity in respect to sequence length

VAN-Jittor. Python

adaPool. [T-IP 2023] Code for exponential adaptive pooling for PyTorch

SoftPool. [ICCV 2021] Code for approximated exponential maximum pooling

image-stitching. Image Stitching algorithm in Python from scratch with gain compensation and blending

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

PyTorch-CycleGAN. A clean and readable Pytorch implementation of CycleGAN

PerceptualSimilarity. LPIPS metric. pip install lpips

ConvNeXt. Code release for ConvNeXt model

Jittor-MLP. Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!

JittorVis. JittorVis - Visual understanding of deep learning models

optical-flow. Python

dive-into-cv-pytorch. 动手学CV-Pytorch版

mmflow. OpenMMLab optical flow toolbox and benchmark

Awesome-Vision-Attentions. Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

pytorch-nicp. GPU Accelerated Non-rigid ICP for surface registration

pytools. Pytools: Some useful tools written by pure python.

Container. Official Code Release for Container : Context Aggregation Network

container. Python

jittor. Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

visualization. a collection of visualization function

Data-Science-Projects. DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

awesome-mlp-papers. Recent Advances in MLP-based Models (MLP is all you need!)

Convolutional-MLPs. [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021

convmixer. Implementation of ConvMixer for "Patches Are All You Need? 🤷"

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

JMedSeg. Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

External-Attention-pytorch. 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

robust_lumbarseg. The final project for Tsinghua University Course Pattern Recognition 2021 Fall.

Jittor-Image-Models. Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.

MEPDNet-pytorch. PyTorch implementation of multi-encoder parse-decoder network for sequential medical image segmentation

Deep-Tutorials-for-PyTorch. In-depth tutorials for implementing deep learning models on your own with PyTorch.

tmaize-blog. 一款jekyll主题，简洁纯净，支持自适应，支持夜间模式

learn-ctf. learn ctf

CVPR2026-Papers-with-Code. CVPR 2026 论文和开源项目合集

Chinese-Pun-Generation. Python

Jittor-summary. Keras style model.summary() in Jittor, modified from torchsummary.

Retina2021. Python

Auto_maker. 大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

2019-CCF-BDCI-Car_sales. 2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案

competition_baselines. 开源的各大比赛baseline

superpixelCV. Python

image-processing-from-scratch. This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

Ai-Learn. 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

awesome-semantic-segmentation-pytorch. Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

AOGNets. Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning

Coursera-ML-AndrewNg-Notes. 吴恩达老师的机器学习课程个人笔记

lightsocks-python. ⚡️一个轻巧的网络混淆代理🌏

PlotNeuralNet. Latex code for making neural networks diagrams

RetinaSample. Python

REKCARC-TSC-UHT. 清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

nndl. 邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

thulearn2018. Tools for Web Learning of Tsinghua University.

os_kernel_lab. OS kernel labs based on Rust/C Lang & RISC-V 64/X86-32

AdversarialNetsPapers. Awesome paper list with code about generative adversarial nets

leopardpan.github.io. 个人博客，看效果进入