johnHostetter

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

txtai

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

alive-progress

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

panel

Panel: The powerful data exploration & web app framework for Python

NN-SVG

Publication-ready NN-architecture schematics.

PyInquirer

A Python module for common interactive command line user interfaces

D4RL

A collection of reference environments for offline reinforcement learning

RLBench

A large-scale benchmark and learning environment.

sample-factory

High throughput synchronous and asynchronous reinforcement learning

pygraft

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

NAS-Bench-201

NAS-Bench-201 API and Instruction

rpy2

Interface to use R from Python

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

manim-slides

Tool for live presentations using manim

interpret-community

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

NATS-Bench

TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

tbparse

Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow

ALEPython

Python Accumulated Local Effects package

fractal

The boundary of neural network trainability is fractal

AstronomicAL

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

sdm-framework

A Sparse Distributed Memory Framework.

RoughSets

RoughSets package for R System

FCMpy

Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation

d3rlpy-benchmarks

Benchmark data for d3rlpy

offline-reinforcement-learning

Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)

JuzzyPython

RelationalNeurogenesis

Relational Neurogenesis is a framework that supports neuroevolutionary mechanisms in deep reinforcement learning networks to enhance lifelong learning capabilities