Riashat

Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

Bayesian-Exploration-Deep-RL

Bayesian Uncertainty Exploration in Deep Reinforcement Learning

Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

Dropout-Uncertainty-Exploration-DQN

Exploration Exploitation in DQNs using Dropout as Bayesian Approximation

meta-active-learning

Meta-Learning Bayesian Active Learning Algorithms

Model-Free-Control-Reinforcement-Learning

Multi-Step-Bootstrapping

Q(sigma), Expected SARSA and n-step Tree Backup Algorithms

Policy-Gradient-Reinforcement-Learning

Q-Learning-SARSA-Policy-and-Value-Iteration

Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs (GridWorld, SmallWorld and CliffWorld)

Temporal_Difference_Learning

Code for TD Learning algorithms in Reinforcement Learning

Riashat/Model-Free-Control-Reinforcement-Learning

Riashat/Variational-Autoencoder

Implementation of a variational Auto-encoder

Riashat/bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

Riashat/Caltech-SURF

Real-time mapping and autonomous navigation

Riashat/cambridge-beamer

University of Cambridge house style for LaTeX Beamer

Riashat/cs231n-practice

[CS231n: http://cs231n.github.io/] Programming Assignment - My Implemenatation

Riashat/Gaussian-Processes

Riashat/gp-structure-search

Riashat/GroundHog

Library for implementing RNNs with Theano

Riashat/Handwriting-Recognition-Machine-Learning

Riashat/hed-dlg

Hierarchical Encoder Decoder for Dialog Modelling

Riashat/Latent-Dirichlet-Allocation

Topic Modelling and LDA

Riashat/LogisticRegression

Riashat/ML-SGHMC

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

Riashat/Neural-Net-Bayesian-Optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

Riashat/pybrain

Riashat/pylearn2

A Machine Learning library based on Theano

Riashat/reweighted-ws

Implementation of the reweighted wake-sleep machine learning algorithm

Riashat/SBN_NVIL

Neural Variational Inference and Learning for Sigmoid Belief Network

Riashat/Supervised-Learning

Riashat/torch-dngo

Torch implementation of the Deep Network for Global Optimization (DNGO)

Riashat/variational-dropout

Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.