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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

agrl.pytorch

[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification

anomaly_prediction

Pytorch implementation of anomaly prediction.

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection.

awesome-video-understanding

video-understanding:Video Classification, Action Recognition, Video Datasets

blvnet-tam

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

cplusplusthings

C++那些事

dctnet

exercise

exercise for nndl

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gluon-cv

Gluon CV Toolkit

inflated_convnets_pytorch

Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

machine_learing_study

machinelearning

《统计学习方法》相关的机器学习实现代码。Machine Learning.

memae

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml_notes

机器学习算法的公式推导以及numpy实现

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

multimodal-short-video-dataset-and-baseline-classification-model

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

opencv-python-tutorial

OpenCV-Python图像处理教程

python_data_structures_and_algorithms

Python 中文数据结构和算法教程

pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

self-attention-cv

Implementation of self-attention mechanisms for general purpose. Focused on computer vision modules. Ongoing repository.

senet.pytorch

PyTorch implementation of SENet

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.