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.dotfile

some dotfiles for basic tool under *nix

algorithms

Algorithms & Data Structures in C++

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - 2D ConvNet-based object segmentation and 6D object pose estimation.

as_6dof_arm

robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms

auto_conditioned_rnn_motion

Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-hand-pose-estimation

Awesome works on hand pose estimation/hand tracking

awesome-python-webapp

小白的Python入门教程实战篇：网站+iOS App源码

awesome-rl

Reinforcement learning resources curated

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

bentdm

Benchmarks for Transferable Dexterous Manipulation

big-data-resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源

blackdrops

Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017

caffe

Caffe: a fast open framework for deep learning.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

catalyst-rl

cmcode

Ming-Ming Cheng's open source projects

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

coolplayspark

酷玩 Spark

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darla-pytorch

PyTorch implementation of DARLA preprocessing models

darts

Differentiable architecture search for convolutional and recurrent networks

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deepid_faceclassify

Practise of DeepID for Face Classification

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.