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Name: onursahin93
Type: User
Name: onursahin93
Type: User
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
CuLE: A CUDA port of the Atari Learning Environment (ALE)
Hands-on Deep Reinforcement Learning, published by Packt
Practical assignments of the Deep|Bayes summer school 2019
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
A MNIST-like fashion product database. Benchmark :point_right:
GloVe model for distributed word representation
Paper list of multi-agent reinforcement learning (MARL)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Models and examples built with TensorFlow
Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd
Deep Learning Seminar -- ΓFAL course NPFL117
This will contain my notes for research papers that I read.
A course in reinforcement learning in the wild
Simple A3C implementation with pytorch + multiprocessing
Pytorch implementation of popular deep reinforcement learning algorithms towards SOA performance.
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
A mix of GAN implementations including progressive growing
Rainbow: Combining Improvements in Deep Reinforcement Learning
Minimal and Clean Reinforcement Learning Examples
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Source code for OpenAI Retro Contest for Sonic the Hedgehog
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
A collection of deep learning tutorials using Tensorflow and Python
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.