ZDstandup

benchmark_results

Visual Tracking Paper List

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

1D-CFD

1 dimensional CFD code with some accesories.

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

AE2-Nets

code of AE^2-Nets （Autoencoder in Autoencoder Networks）

AGNet

The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

AiR

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Beautiful-Visualization-with-R

《R语言数据可视化之美》配套代码

bokeh

Interactive Data Visualization in the browser, from Python

c-swm

Code for ICLR 2020 submission "Contrastive Learning of Structured World Models"

CVPR2020-Code

CVPR 2020 论文开源项目合集

deep_learning_object_detection

A paper list of object detection using deep learning.

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

LabelFree-DNN-Surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

ML-notes

notes about machine learning

mmdetection

Open MMLab Detection Toolbox and Benchmark

mvda

Discriminant Analysis Algorithms

PathomicFusion

PGCN

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

PhiFlow

Research-oriented differentiable fluid simulation framework

pytracking

Visual tracking library based on PyTorch.

rfs

self-supervised-3d-tasks

SLA

Self-supervised Label Augmentation via Input Transformations (ICML 2020)

sparse-sharing

Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Turbulent-Flow-Nets

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild