PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Search Packages

Find Python packages by name, description, GitHub topic, or filter by metrics
lucidrains
q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

2K 406 22
chimera0
accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
chimera0
pydbm

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
accel-brain
pysummarization

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

1K 325 91
accel-brain
pyqlearning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

983 325 91
Abd0r
quatrix

Quatrix — Q-Compass Architecture: novel neural architecture replacing attention with value-based navigation. Base for the Quasar model series.

903 0 0
cool-RR
grid-royale

GridRoyale - A life simulation for exploring social dynamics

798 272 27
accel-brain
accel-brain-base

accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.

584 325 91
accel-brain
pygan

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

494 325 91
anthonykrivonos
qubot

🤖 Autonomous software acceptance testing library for Python taken from my Qubot paper.

445 2 1
VinF
deer

DEEp Reinforcement learning framework

427 488 119
cool-RR
marley

A framework for multi-agent reinforcement learning.

406 272 27
accel-brain
pycomposer

pycomposer is Python library for Algorithmic Composition or Automatic Composition based on the stochastic music theory and the Statistical machine learning problems. Especialy, this library provides apprication of the Algorithmic Composer based on Generative Adversarial Networks(GANs) and Conditional Generative Adversarial Networks(Conditional GANs).

348 325 91
garethjns
reinforcement-learning-keras

No description available

309 6 2
Nesta-gitU
simple-q

Low learning-curve implementation of standard Q-learning.

292 2 0
fszewczyk
rocketgym

OpenAI Gym for vertical rocket landing. Features full 2D physics engine and works like any other gym.

265 17 4
jackblandin
research

Utility modules used for research and/or learning

251 7 4
RootHarold
lycorisq

A neat reinforcement learning framework based on LycorisNet.

194 5 0
entrpn
fingym

A tool for developing reinforcement learning algorithms focused in stock prediction

193 18 5
ZenSam7
easymyai

Easy creation of your own simple neural network

183 1 0
misaghsoltani
deepcubeai

Learning Discrete World Models for Heuristic Search

170 10 1
neelsomani
literature

Literature card game implementation: https://en.wikipedia.org/wiki/Literature_(card_game)

153 10 2
ca-scribner
lrl

lrl: Learn Reinforcement Learning

119 1 0
tctibbs
matchbox-rl

Matchbox-RL: A tangible reinforcement learning library for Python. Based on Donald Michie's 1961 MENACE algorithm using matchboxes and colored beads. Perfect for education and visualizing RL.

77 0 0
    • Data from PyPI, GitHub, ClickHouse, and BigQuery