hhchyer

hhchyer

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Python

All Algorithms implemented in Python

Language:PythonLicense:MITStargazers:181002Issues:5928Issues:1451

awesome-public-datasets

A topic-centric list of HQ open datasets.

100-Days-Of-ML-Code

100 Days of ML Coding

License:MITStargazers:43710Issues:2440Issues:0

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Language:PythonLicense:Apache-2.0Stargazers:39361Issues:427Issues:8991

hello-algorithm

🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Language:PythonLicense:Apache-2.0Stargazers:23591Issues:299Issues:661

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Language:PythonLicense:MITStargazers:13125Issues:126Issues:302

nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Language:ShellLicense:MITStargazers:12175Issues:428Issues:38

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

Language:Jupyter NotebookLicense:MITStargazers:9315Issues:285Issues:259

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

Language:PythonLicense:Apache-2.0Stargazers:7783Issues:130Issues:295

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Language:Jupyter NotebookLicense:MITStargazers:4650Issues:247Issues:14

imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

Language:PythonLicense:NOASSERTIONStargazers:3958Issues:109Issues:171

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

tensorrt_demos

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Language:PythonLicense:MITStargazers:1732Issues:27Issues:557

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

Language:PythonLicense:CC0-1.0Stargazers:1564Issues:75Issues:3

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

jraph

A Graph Neural Network Library in Jax

Language:PythonLicense:Apache-2.0Stargazers:1213Issues:39Issues:34

yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

Language:C++License:MITStargazers:1182Issues:30Issues:162

AutoGL

An autoML framework & toolkit for machine learning on graphs.

Language:PythonLicense:Apache-2.0Stargazers:1072Issues:28Issues:39

DGFraud

A Deep Graph-based Toolbox for Fraud Detection

Language:PythonLicense:Apache-2.0Stargazers:671Issues:15Issues:13

cvpods

All-in-one Toolbox for Computer Vision Research.

Language:PythonLicense:Apache-2.0Stargazers:637Issues:30Issues:68

Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Language:PythonLicense:Apache-2.0Stargazers:627Issues:9Issues:19

FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

EvolveGCN

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Language:PythonLicense:Apache-2.0Stargazers:497Issues:18Issues:21

Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

TensorRT-YOLOv4

tensorrt5, yolov4, yolov3,yolov3-tniy,yolov3-tniy-prn

graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

Language:Jupyter NotebookStargazers:114Issues:7Issues:4

sagemaker-graph-fraud-detection

Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks

Language:PythonLicense:Apache-2.0Stargazers:91Issues:9Issues:2

TigeCMN

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks (WWW-2020)

Language:PythonStargazers:7Issues:1Issues:0