amankh's Stars
luspr/awesome-ml-courses
Awesome free machine learning and AI courses with video lectures.
visual-ml-notes/visual-machine-learning-notes
Machine Learning Conference & Summer School Notes. 🦄
tdegeus/pybind11_examples
Examples for the usage of "pybind11"
tdavchev/option-critic
A Tensorflow implementation of the Option-Critic Architecture
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
flow-project/flow
Computational framework for reinforcement learning in traffic control
eclipse-sumo/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
sawcordwell/pymdptoolbox
Markov Decision Process (MDP) Toolbox for Python
mit-racecar/vesc
AdaCompNUS/despot
The DESPOT online POMDP solver
rdl-algorithm/tapir
Public repository of TAPIR
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
yoosan/video-understanding-dataset
A collection of recent video understanding datasets, under construction!
NVIDIA/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
JingchunCheng/Seg-with-SPN
Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge
Winstonxu123/Segmention-Models
some state-of-art nets' models
seilna/RWMN
:movie_camera: Repository for our ICCV 2017 paper: A Read Write Network for Movie Story Understanding
YunseokJANG/tgif-qa
Repository for our CVPR 2017 and IJCV: TGIF-QA
hindupuravinash/nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
sbrugman/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Faldict/awesome-GAN
A curated list of awesome Generative Adversarial Nets resources.
LouieYang/deep-photo-styletransfer-tf
Tensorflow (Python API) implementation of Deep Photo Style Transfer
hiroharu-kato/style_transfer_3d
Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
satoshiiizuka/siggraph2017_inpainting
Code for the paper 'Globally and Locally Consistent Image Completion'. http://iizuka.cs.tsukuba.ac.jp/projects/completion/
chenhsuanlin/spatial-transformer-GAN
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing :eyeglasses: (CVPR 2018)
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets