riashat Goto Github PK
Name: Riashat Islam
Type: User
Company: @rllabmcgill
Bio: Research Scientist, Machine Learning
Location: Montreal, Quebec
Name: Riashat Islam
Type: User
Company: @rllabmcgill
Bio: Research Scientist, Machine Learning
Location: Montreal, Quebec
Implementation for ACER in tensorflow and sonnet by deepmind
Active Learning on Image Data using Bayesian ConvNets
Imitation Learning in Deep RL
:alarm_clock: AI conference deadline countdowns
Efficiently computes derivatives of numpy code.
Recurrent Neural Network - A curated list of resources dedicated to RNN
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Bayesian Uncertainty Exploration in Deep Reinforcement Learning
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
BetaGo: AlphaGo for the masses, live on github.
The official implementation of "Batch Reinforcement Learning with Hyperparameter Gradients", ICML 2020
Real-time mapping and autonomous navigation
University of Cambridge house style for LaTeX Beamer
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
Credit Assignment in Reinforcement Learning
[CS231n: http://cs231n.github.io/] Programming Assignment - My Implemenatation
Deep Convolutional Generative Adversarial Networks
Code for Deep Bayesian Active Learning (ICML 2017)
PyTorch implementations of deep reinforcement learning algorithms and environments
A list of recent papers regarding deep reinforcement learning
Code accompanying the paper: Deep Gaussian processes for regression using approximate Expectation Propagation
Combining deep learning and reinforcement learning.
Modularized Implementation of Deep RL Algorithms in PyTorch
A set of implementations of Deep Reinforcement Learning Agents using Tensorflow.
Exploration-Exploitation in Deep Q Networks
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Analysing Linear and Non Linear Function Approximators
Exploration Exploitation in DQNs using Dropout as Bayesian Approximation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.