OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

CNN LSTM architecture implemented in Pytorch for Video Classification

Mastering PyTorch, published by Packt

PyTorch Computer Vision Cookbook, Published by Packt

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

📦 快速转化「中文数字」和「阿拉伯数字」～ (最新特性：分数，日期、温度等转化）

Two-Stream CNNs to Recognize Actions in Videos (with Early Fusion and Late Fusion)

PyTorch implementation of Two-stream CNN for 3D action recognition

Pseudo API for Google Trends

PyTorch implementation of two-stream networks for video action recognition

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

Tools to extract dense optical flow from videos, based on OpenCV

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

台北QA問答機器人(使用BERT)

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

Models and examples built with TensorFlow

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

802.11n CSI Tool based on iwlwifi and Linux-2.6

Official Stanford NLP Python Library for Many Human Languages

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Deep Learning Project.

Convolutional Neural Networks

PyTorch Tutorial for Deep Learning Researchers

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

Parallel t-SNE implementation with Python and Torch wrappers.