Jianyuchen23's repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
AlphaPose
Real-Time and Accurate Multi-Person Pose Estimation&Tracking System
awesome-action-recognition
A curated list of action recognition and related area resources
CS-Notes
:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计
csgm
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
CVPR2019-Code
CVPR 2019 Paper with Code
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
human-motion-prediction
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
lighttrack
Code for paper "LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking"
lightweight_openpose
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
Mask_RCNN_Humanpose
Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.
models
Models built with TensorFlow
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pseudo-3d-pytorch
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
pseudo-3d-residual-networks
Pseudo-3D Convolutional Residual Networks for Video Representation Learning
Pytorch-Memory-Utils
pytorch memory track code
Skeleton-based-Human-Action-Recognition
This is partial implementations of PR 2017 and CVPR 2018
splitlab
Matlab GUI to perform SKS splitting measurements
tensorflow
An Open Source Machine Learning Framework for Everyone
Two-Stream-CNN
Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D
video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
yolact
A simple, fully convolutional model for real-time instance segmentation.