jisoolee0123

reddit

historical code from reddit.com

GNNPapers

Must-read papers on graph neural networks (GNN)

baseweb

A React Component library implementing the Base design language

silero-models

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

d3rlpy

An offline deep reinforcement learning library

RecNN

Reinforced Recommendation toolkit built around pytorch 1.7

VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

whynot

A Python sandbox for decision making in dynamics

c-swm

Contrastive Learning of Structured World Models

torchcrepe

Pytorch implementation of the CREPE pitch tracker

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

torch-stft

An STFT/iSTFT for PyTorch.

mjrl

Reinforcement learning algorithms for MuJoCo tasks

CARLA

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

HCL

ICLR 2021, Contrastive Learning with Hard Negative Samples

coral-pytorch

CORAL and CORN implementations for ordinal regression with deep neural networks.

Conditional_Density_Estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

MP-DQN

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

mopo

Code for MOPO: Model-based Offline Policy Optimization

CausalMBRL

Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

hybrid-sac

Single-file pytorch implementation of hybrid-SAC

gumbel-max-scm

Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

causal-rl

Voice-conversion-evaluation

An evaluation toolkit for voice conversion models.

cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

trajectory-inspection

Code for "Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies"

reddit-send-bulk-messages

A Python script written for the purpose of sending messages to Reddit users in bulk.

synth-action-seq

Repository for "Synthesizing Optimal Action Sequences for Modifying Model Decisions" (Published in AAAI-2020)