A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
- reinforcement-learning-algorithms
- reinforcement-learning
- machine-learning
- gym
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A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations
TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.
Symbolic Learning in Python and Julia
Machine Learning Pipelines for Kubeflow
A curated list of resources for using LLMs to develop more competitive grant applications.
STUMPY is a powerful and scalable Python library for modern time series analysis
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Collect Lots of Shadowsocks, ShadowsocksR, Trojan, Vmess from Public Sources & Filter Best Nodes By Speed
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
3D visualization and mesh analysis for science and engineering
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Algorithmic Trading in Python with Machine Learning
Python library that makes it easy for data scientists to create charts.
WebApps in pure Python. No JavaScript, HTML and CSS needed
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
Hummingbird compiles trained ML models into tensor computation for faster inference.