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arc

CVPR 2020 "Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation"

awesome-action-recognition

A curated list of action recognition and related area resources

bepa.ssd.pytorch

Best Ever Practical Architecture of single shot multibox object detectors

c3d-tcn-keras

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

cxk-ball

🏀 Javascript 实现的 CXK 打篮球游戏

deep-learning-jhu-cs-482-682

Deep learning JHU CS 482 682 assignments

diving-score

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gscu

Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)

human-action-recognition

model-viewer

Easily display interactive 3D models on the web and in AR!

models

Models and examples built with TensorFlow

moments-in-time

neuralnetwork-imageqa

This is a python and keras implementation of the VIS+LSTM visual question answering model.

painregression

Transferring Face Verification Nets To Pain and Expression Regression

pesudo-3d-applications

Applications of Pseudo-3D Network

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

r2plus1d-pytorch

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

siamese-network-for-face-pairings

Siamese network to learn whether a pair of images of faces is the same person or not. Implemented in PyTorch.

tcn-painestimation

keras implementation of temporal convolutional networks for pain intensity estimation

temporalconvolutionalnetworks

tensorflow

Computation using data flow graphs for scalable machine learning

tma

form a consensus prediction of the unknown labels using the outputs of the network-in-training on different epochs with exponential moving average(EMA) prediction for each of the training example

trn-pytorch

Temporal Relation Networks

youtube-8m

Starter code for working with the YouTube-8M dataset.

youtube-8m-willow

Kaggle Youtube 8M WILLOW approach

youtube_download

Packet download videos from youtube

yt8m_tcn

TemporalConvolutionalNetworks application on Google youtube 8m dataset