parshakova Goto Github PK

angry_birds_rl

Playing Angry Birds: Deep Deterministic Policy Gradient with Attention-based Long Short-Term Memory

apip

apsn

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bundlemethod

forked from https://github.com/kibaekkim/BundleMethod.jl

cme211

cme216_chebnn

Chebyshev Approximations of Analytic Functions with ReLu Neural Networks

cnn-q-class

Chinese Question Classifier (Keras Implementation) on BQuLD

dl_rl_assignments

Homeworks from Deep learning course

gams-for-data-efficient-learning

Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

homework

Assignments for CS294-112.

irm_icp-ic_erm

mpbngcinterface

forked from https://github.com/milzj/MPBNGCInterface.jl

neural_opinion_generator

parshakova.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

pomdp-py

POMDP for card guessing environment

pomdps.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

pomdpy

POMDPs in Python.

practical_rl

A course in reinforcement learning in the wild

quickpomdps.jl

Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers

stanford-latex-poster-template

sure-cr

Tractable evaluation of Stein's Unbiased Risk Estimator on convexly regularized estimators

vqa-pg-pointernetwork

Visual Question Answering model with policy gradient and pointer network