Pinned Repositories
angry_birds_rl
Playing Angry Birds: Deep Deterministic Policy Gradient with Attention-based Long Short-Term Memory
APIP
apsn
BundleMethod
forked from https://github.com/kibaekkim/BundleMethod.jl
cme216_chebnn
Chebyshev Approximations of Analytic Functions with ReLu Neural Networks
dl_rl_assignments
Homeworks from Deep learning course
GAMS-for-Data-Efficient-Learning
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
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
parshakova's Repositories
parshakova/angry_birds_rl
Playing Angry Birds: Deep Deterministic Policy Gradient with Attention-based Long Short-Term Memory
parshakova/GAMS-for-Data-Efficient-Learning
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
parshakova/APIP
parshakova/neural_opinion_generator
parshakova/BundleMethod
forked from https://github.com/kibaekkim/BundleMethod.jl
parshakova/cme216_chebnn
Chebyshev Approximations of Analytic Functions with ReLu Neural Networks
parshakova/dl_rl_assignments
Homeworks from Deep learning course
parshakova/MPBNGCInterface
forked from https://github.com/milzj/MPBNGCInterface.jl
parshakova/parshakova.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
parshakova/apsn
parshakova/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.
parshakova/cme211
parshakova/cnn-q-class
Chinese Question Classifier (Keras Implementation) on BQuLD
parshakova/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
parshakova/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
parshakova/homework
Assignments for CS294-112.
parshakova/IRM_ICP-IC_ERM
parshakova/pomdp-py
POMDP for card guessing environment
parshakova/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.
parshakova/POMDPy
POMDPs in Python.
parshakova/Practical_RL
A course in reinforcement learning in the wild
parshakova/QuickPOMDPs.jl
Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers
parshakova/Stanford-LaTeX-Poster-Template
parshakova/SURE-CR
Tractable evaluation of Stein's Unbiased Risk Estimator on convexly regularized estimators
parshakova/VQA-PG-PointerNetwork
Visual Question Answering model with policy gradient and pointer network