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awesome-causality-algorithms

An index of algorithms for learning causality with data

cmc

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

compression

Data compression in TensorFlow

dataloaders_dali

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

dpc

Video Representation Learning by Dense Predictive Coding

learngit

matrix-capsules-pytorch

A Pytorch implementation of "Matrix Capsules with EM routing"

mixup

Implementation of the mixup training method

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

multi-task-learning-example-pytorch

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nturgb-d

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

pytorch-deform-conv-v2

A PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

pytorch-nested-unet

A PyTorch implementation of UNet++ (Nested U-Net).

pytorch-res2net

PyTorch implementation of Res2Net

pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

rfnet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

runx

Deep Learning Experiment Management

sample-fusion-network

Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-based Human Action Recognition

scienceplots

Matplotlib styles for scientific plotting

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

slambook2

edition 2 of the slambook

temporal-ensembling

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

torchmtl

A lightweight module for Multi-Task Learning in pytorch.

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

uar_pdf