Googolplex Goodenough's repositories
draw-rect-for-low-level-figures
Draw single or multiple rectangles with different colors in figures for low level papers.
pytorch-profile-layer-by-layer
Providing a framework to profile pytorch network layer by layer and save the result into a csv file.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
opencv-picture-to-excel
使用python-opencv识别图片中的表格数据转换为csv
awesome-rl
Reinforcement learning resources curated
Awesome_Underwater_Datasets
Pointers to large-scale underwater datasets and relevant resources.
Batch-Offline--RL-Paper-Lists
Paper Collection for Batch RL with brief introductions.
Bilevel-Optimization-in-Coordination-Game
code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
BOML
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
cherry
PyTorch Reinforcement Learning Framework for Researchers
craves.ai
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System
craves_control
The control module of "CRAVES:Controlling Robotic Arm with a Vision-based, Economic System"
cvat
Powerful and efficient Computer Vision Annotation Tool (CVAT)
graspnet-baseline
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
kaggle-rsna18
Code for 1st place solution in Kaggle RSNA Pneumonia Detection Challenge.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras-rl
Deep Reinforcement Learning for Keras.
learn2learn
PyTorch Meta-learning Framework for Researchers
mil
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
noise_estimate
Fast noise gaussian estimation for low-light image
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RTV-in-Python
Relative Total Variation(a method for structure extraction from texture)
sac
Soft Actor-Critic
shiftnet_styletransfer
Fast style transfer using shiftnet
spinningup
An educational resource to help anyone learn deep reinforcement learning.