Pinned Repositories
ABCDistances.jl
Performs approximate Bayesian computation (ABC) using various distance functions
BToM
dc-ign
The Deep Convolutional Inverse Graphics Network
draw
Reimplementation of DRAW
gym-bandits
Bandits Environments for the OpenAI Gym
ICURL
Code for reinforcement learning in ICU
Julia-Torch
Interface between Julia and Torch (Lua) using ZMQ
learning_to_execute
Learning to Execute
lstm
mnist-cluttered
AjayTalati's Repositories
AjayTalati/pmbrl
Reinforcement Learning through Active Inference
AjayTalati/Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
AjayTalati/arc-pytorch
PyTorch implementation of Attentive Recurrent Comparators
AjayTalati/Axelrod
A research tool for the Iterated Prisoner's Dilemma
AjayTalati/candlegp
Gaussian Processes in Pytorch
AjayTalati/CausalGAN
AjayTalati/deepAI_paper
AjayTalati/DeepLearningFrameworks
Demo of running NNs across different frameworks
AjayTalati/EffectiveTensorflow
TensorFlow tutorials and best practices.
AjayTalati/end-to-end-negotiator
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
AjayTalati/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
AjayTalati/gp-adapter
Scalable GP Adapter for Time Series Classification
AjayTalati/healthlocker
Inspire and motivate people to stay well.
AjayTalati/hm-rnn
PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks
AjayTalati/machine_learning_examples
A collection of machine learning examples and tutorials.
AjayTalati/medgan
Generative adversarial network for generating electronic health records.
AjayTalati/MGP-RNN
A TensorFlow implementation of "Accurate and Timely Real-Time Prediction of Sepsis Using an End-to-end Multitask Gaussian Process RNN Classifier", ICML 2017.
AjayTalati/mlsh
AjayTalati/NeuralDialogPapers
Summary of deep learning models for dialog systems
AjayTalati/osim-rl
Reinforcement learning environments with musculoskeletal models
AjayTalati/policy-gradient-importance-sampling
Policy gradient reinforcement learning algorithm with importance sampling
AjayTalati/pygcn
Graph Convolutional Networks in PyTorch
AjayTalati/pyro
Deep universal probabilistic programming with Python and PyTorch
AjayTalati/pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
AjayTalati/pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
AjayTalati/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
AjayTalati/roboschool
Open-source software for robot simulation, integrated with OpenAI Gym.
AjayTalati/seq2seq.pytorch
Sequence-to-Sequence learning using PyTorch
AjayTalati/Surprise
A Python scikit for building and analyzing recommender systems
AjayTalati/tensor2tensor
A library for generalized sequence to sequence models