batmansdu's Stars
getcursor/cursor
The AI Code Editor
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要）
sfujim/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
ericyangyu/PPO-for-Beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
jhhuang96/ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
mirceamironenco/BayesianRecurrentNN
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
keitakurita/Better_LSTM_PyTorch
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
PawaritL/BayesianLSTM
Bayesian LSTM Implementation in PyTorch
Anoise/Minusformer
Improving Time Series Forecasting by Progressively Learning Residuals
tankwin08/Bayesian_uncertainty_LSTM
Bayesian, Uncertainty, Neutral Networks, LSTM, time series
Anoise/DistPred
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Anoise/MHE
Multi-Head Encoding (MHE) for Extreme Label Classification
Anoise/MABOformer
Period-Attention mechanism (Periodformer)
Anoise/PDD
A Lightweight Product Defect Detection Method in IIoT
linnaeushuang/pensieve-pytorch
Anoise/WTFlib
Awesome Wireless Traffic Forecasting Library
Anoise/Act-Now
A Novel Online Forecasting Framework for Large-Scale Streaming Data
duowuyms/MANSY_ImmersiveVideoStreaming
Implementation of paper "MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning" and a trace-driven simulator for immsersive (or, omnidirectional, 360-degree) video streaming.
seolhokim/BipedalWalker-BranchingDQN
The Easiest Pytorch Implementation of Branching-DQN
bonsai-lab-polimi/icc2023-qot-forecasting
Code repository for the paper "Uncertainty-Aware QoT Forecasting with Bayesian Recurrent Neural Networks", IEEE International Conference on Communications (ICC) 2023
monkeysun555/360projection