Moirai7

tianshou

An elegant PyTorch deep reinforcement learning library.

sktime

A unified framework for machine learning with time series

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

rlkit

Collection of reinforcement learning algorithms

SWE-bench

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

cvelist

Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023

d3rlpy

An offline deep reinforcement learning library

CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

WeatherBench

A benchmark dataset for data-driven weather forecasting

CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

CQL

Code for conservative Q-learning

Chinese_noted_AFL

记录自己在看 afl 源码时候的一些笔记和想法，还有一些自己觉得有意思的魔改。2020年12月2日update：添加混合模糊测试目录

Recommender_system_via_deep_RL

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

reincarnating_rl

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

Wind_Turbine_SCADA_open_data

list of open data wind turbine data sets

katakomba

Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)

thompson

Thompson Sampling Tutorial

codeflaws

This repository the benchmark with 3902 defects extracted from C programs in Codeforces (http://codeforces.com/)

active_ops

Reinforcement-Learning-Book

mVulPreter

RFQI

Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]

DeepRLRecommenderSystem

LLM4VulFix

[2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?

DRTracker

data race detection

Reinforcement-Learning

s2e

S2E: A platform for multi-path program analysis with selective symbolic execution.

MachineLearning-Smart-Meter-Analytics

This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector machines. This repository is getting mature. More notebooks will being added and updated in the future.

SHC

Statistical Hierarchical Clusterer