kovacspeter's Stars
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
alexjc/neural-enhance
Super Resolution for images using deep learning.
rbgirshick/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
draftdev/startup-marketing-checklist
A checklist of tactics for marketing your startup.
maciejkula/spotlight
Deep recommender models using PyTorch.
Tencent/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
smallcorgi/Faster-RCNN_TF
Faster-RCNN in Tensorflow
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
MarvinTeichmann/KittiSeg
A Kitti Road Segmentation model implemented in tensorflow.
stanfordnmbl/osim-rl
Reinforcement learning environments with musculoskeletal models
MarvinTeichmann/MultiNet
Real-time Joint Semantic Reasoning for Autonomous Driving
awjuliani/Meta-RL
Implementation of Meta-RL A3C algorithm
marian-margeta/gait-recognition
Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models
carpedm20/paper-notes
personal notes
uvadlc/uvadlc_practicals_2016
Repository for practical assignments for UvA Deep Learning Course 2016
kovacspeter/reaching-graspin
kovacspeter/rl-gym
Implementation of RL algos with openAI gym