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adversarial-object-segmentation

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

clearml

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

elaugment

A lightweight data-augmentation library for machine learning

flux-dispatcher

A Flux dispatcher

kaggleplanetkeras

Code for https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

kaggleplanetpytorch

Code for https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

kagglesalt

2nd place solution for TGS Salt Identification competition

mctigger.github.io

nnpraktikum

objectvalidator

Validates Javascript Objects

open-solution-salt-identification

Open solution to the TGS Salt Identification Challenge

pytorch-vsumm-reinforce

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

react-textarea-autosize

<textarea /> component for React which grows with content

redux-promises

Promise based middleware for Redux to deal with asynchronous actions.

requirejs.twig

A require.js plugin to load twig.js render functions

ros_comm

ROS communications-related packages, including core client libraries (roscpp, rospy, roslisp) and graph introspection tools (rostopic, rosnode, rosservice, rosparam).

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

test_clearml

torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

understandable-faster-rcnn

I try to create an understandable implementation of "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" (https://arxiv.org/pdf/1506.01497.pdf)