Machine Learning · GitHub

Video Platform for Action Recognition and Object Detection in Pytorch

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

PyTorch Code for Neural MP: A Generalist Neural Motion Planner

study resources of model and engineering

Deep learning superresolution in pure rust

Official implementation of Neural Audio Fingerprint (ICASSP 2021)

GraphXAI: Resource to support the development and evaluation of GNN explainers

Subgraph Neural Networks (NeurIPS 2020)

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

Train and visualize Hierarchical Attention Networks

Sharp Image Deblurring

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

ATLAS tactics, techniques, and case studies data

Machine Learning and Causal Inference taught by Brigham Frandsen

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Mjx: A framework for Mahjong AI research

Authors official PyTorch implementation of the "ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning" [ICCV 2019]