confiwent Goto Github PK

a3c

Tensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

academic.github.io

my academic page repository, powered by pelican

academicpages

ai-deadlines

:alarm_clock: AI conference deadline countdowns

al-folio

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

alphafold

Open source code for AlphaFold.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesmpc

The implementation of "Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control" (NOSSDAV 2021)

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

cachegen

cmsd-dash

compositionalkoopmanoperators

[ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control

comyco_reimplement

A re-implemetation of Comyco(ACMMM19' Huang, et al.). The QoE metric is simplified to the linear and objective measurement.

confiwent.github.io

my blog pages

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

deep-rl

Collection of Deep Reinforcement Learning algorithms

differentiable-mpc

diffustereo

This repository is the official implementation of DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras.

difusco

Code for "DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization"

ecole

Extensible Combinatorial Optimization Learning Environments

env_abr_accelerating

Using jit to accelerate abr environments

gdss_study

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

genet

The repository of Genet project.

gnn-gbdt-guided-fast-optimizing-framework

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming(Ye et al., ICML 2023): https://openreview.net/pdf?id=tX7ajV69wt

grace

graphscorematching

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

learn2branch-ecole

Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)

learn2comparenodes

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)