179 Repositories
Python conda-environment Libraries
Helper script to bootstrap a Python environment with the tools required to build and install packages.
python-bootstrap Helper script to bootstrap a Python environment with the tools required to build and install packages. Usage $ python -m bootstrap.bu
Data Science Environment Setup in single line
datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Setup a flask project using a single command, right from creating virtual environment to creating Procfile for deployment.
AutoFlask-Setup About AutoFlask-Setup can help you set up a new Flask Project, right from creating virtual environment to creating Procfile for deploy
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment This repository is related to the paper DEEPAGÉ: Answering Questions in Por
A StarkNet project template based on a Pythonic environment
StarkNet Project Template This is an opinionated StarkNet project template. It is based around the Python's ecosystem and best practices. tox to manag
Reinforcement Learning with Q-Learning Algorithm on gym's frozen lake environment implemented in python
Reinforcement Learning with Q Learning Algorithm Q learning algorithm is trained on the gym's frozen lake environment. Libraries Used gym Numpy tqdm P
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation A pytorch-version implementation codes of paper:
Motion planning environment for Sampling-based Planners
Sampling-Based Motion Planners' Testing Environment Sampling-based motion planners' testing environment (sbp-env) is a full feature framework to quick
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
Multi-Car Racing Gym Environment This repository contains MultiCarRacing-v0 a multiplayer variant of Gym's original CarRacing-v0 environment. This env
Code for Environment Inference for Invariant Learning (ICML 2020 UDL Workshop Paper)
Environment Inference for Invariant Learning This code accompanies the paper Environment Inference for Invariant Learning, which appears at ICML 2021.
Minimalistic Gridworld Environment (MiniGrid)
Minimalistic Gridworld Environment (MiniGrid) There are other gridworld Gym environments out there, but this one is designed to be particularly simple
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Current build status All platforms: Current release info Name Downloads Version Platforms Hapi - Hydrological library for Python Hapi is an open-sourc
The Multi-Mission Maximum Likelihood framework (3ML)
PyPi Conda The Multi-Mission Maximum Likelihood framework (3ML) A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics.
Python-based Space Physics Environment Data Analysis Software
pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is
Deep Sea Treasure Environment for Multi-Objective Optimization Research
DeepSeaTreasure Environment Installation In order to get started with this environment, you can install it using the following command: python3 -m pip
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
Yadl - it is a simple library for working with both dotenv files and environment variables.
Yadl Yadl - it is a simple library for working with both dotenv files and environment variables. Features Validation of whitespaces. Validation of num
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
TEACh Task-driven Embodied Agents that Chat Aishwarya Padmakumar*, Jesse Thomason*, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Ge
Phoenix Framework is an environment for writing, testing and using exploit code.
Phoenix-Framework Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen
Spark development environment for k8s
Local Spark Dev Env with Docker Development environment for k8s. Using the spark-operator image to ensure it will be the same environment. Start conta
PowerGym is a Gym-like environment for Volt-Var control in power distribution systems.
Overview PowerGym is a Gym-like environment for Volt-Var control in power distribution systems. The Volt-Var control targets minimizing voltage violat
Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.
pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir
Reinforcement learning models in ViZDoom environment
DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p
Strict separation of config from code.
Python Decouple: Strict separation of settings from code Decouple helps you to organize your settings so that you can change parameters without having
Load Django Settings from Environmental Variables with One Magical Line of Code
DjEnv: Django + Environment Load Django Settings Directly from Environmental Variables features modify django configuration without modifying source c
Lux AI environment interface for RLlib multi-agents
Lux AI interface to RLlib MultiAgentsEnv For Lux AI Season 1 Kaggle competition. LuxAI repo RLlib-multiagents docs Kaggle environments repo Please let
Conda package for artifact creation that enables offline environments. Ideal for air-gapped deployments.
Conda-Vendor Conda Vendor is a tool to create local conda channels and manifests for vendored deployments Installation To install with pip, run: pip i
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
gym-mtsim: OpenAI Gym - MetaTrader 5 Simulator MtSim is a simulator for the MetaTrader 5 trading platform alongside an OpenAI Gym environment for rein
pydock - Docker-based environment manager for Python
pydock - Docker-based environment manager for Python ⚠️ pydock is still in beta mode, and very unstable. It is not recommended for anything serious. p
EMBArk - The firmware security scanning environment
Embark is being developed to provide the firmware security analyzer emba as a containerized service and to ease accessibility to emba regardless of system and operating system.
Phoenix Framework is an environment for writing, testing and using exploit code.
Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen
Brandnew-flask is a CLI tool used to generate a powerful and mordern flask-app that supports the production environment.
Brandnew-flask is still in the initial stage and needs to be updated and improved continuously. Everyone is welcome to maintain and improve this CLI.
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
A simple Django dev environment setup with docker for demo purposes for GalsenDev community
GalsenDEV Docker Demo This is a basic Django dev environment setup with docker and docker-compose for a GalsenDev Meetup. The main purposes was to mak
Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
BridgeWalk is a partially-observed reinforcement learning environment with dynamics of varying stochasticity.
BridgeWalk is a partially-observed reinforcement learning environment with dynamics of varying stochasticity. The player needs to walk along a bridge to reach a goal location. When the player walks off the bridge into the water, the current will move it randomly until it gets washed back on the shore. A good agent in this environment avoids this stochastic trap
This websocket program is for data transmission between server and client. Data transmission is for Federated Learning in Edge computing environment.
websocket-for-data-transmission This websocket program is for data transmission between server and client. Data transmission is for Federated Learning
CowHerd is a partially-observed reinforcement learning environment
CowHerd is a partially-observed reinforcement learning environment, where the player walks around an area and is rewarded for milking cows. The cows try to escape and the player can place fences to help capture them. The implementation of CowHerd is based on the Crafter environment.
A step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
This project has a step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
render sprites into your desktop environment as shaped windows using GTK
spritegtk render static or animated sprites into your desktop environment as dynamic shaped windows using GTK requires pycairo and PYGobject: pip inst
My solution for a MARL problem on a Grid Environment with Q-tables.
To run the project, run: conda create --name env python=3.7 pip install -r requirements.txt python run.py To-do: Add direction to the state space Take
This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization
Spherical Gaussian Optimization This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has b
AndroidEnv is a Python library that exposes an Android device as a Reinforcement Learning (RL) environment.
AndroidEnv is a Python library that exposes an Android device as a Reinforcement Learning (RL) environment.
This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS
DevOps-The-Hard-Way-AWS This tutorial contains a full, real-world solution for setting up an environment that is using DevOps technologies and practic
leafmap - A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment
Transparently load variables from environment or JSON/YAML file.
A thin wrapper over Pydantic's settings management. Allows you to define configuration variables and load them from environment or JSON/YAML file. Also generates initial configuration files and documentation for your defined configuration.
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
Django-environ django-environ allows you to use Twelve-factor methodology to configure your Django application with environment variables. import envi
ManipulaTHOR, a framework that facilitates visual manipulation of objects using a robotic arm
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras Overview This project provides a general environment for stoc
Scalable, event-driven, deep-learning-friendly backtesting library
...Minimizing the mean square error on future experience. - Richard S. Sutton BTGym Scalable event-driven RL-friendly backtesting library. Build on
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
TradingGym TradingGym is a toolkit for training and backtesting the reinforcement learning algorithms. This was inspired by OpenAI Gym and imitated th
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
A lightweight, GPU accelerated, SQL engine built on the RAPIDS.ai ecosystem. Get Started on app.blazingsql.com Getting Started | Documentation | Examp
Open world survival environment for reinforcement learning
Crafter Open world survival environment for reinforcement learning. Highlights Crafter is a procedurally generated 2D world, where the agent finds foo
All-in-one Docker container that allows a user to explore Nautobot in a lab environment.
Nautobot Lab This container is not for production use! Nautobot Lab is an all-in-one Docker container that allows a user to quickly get an instance of
Directions overlay for working with pandas in an analysis environment
dovpanda Directions OVer PANDAs Directions are hints and tips for using pandas in an analysis environment. dovpanda is an overlay companion for workin
RELATE is an Environment for Learning And TEaching
RELATE Relate is an Environment for Learning And TEaching RELATE is a web-based courseware package. It is set apart by the following features: Focus o
A vision library for performing sliced inference on large images/small objects
SAHI: Slicing Aided Hyper Inference A vision library for performing sliced inference on large images/small objects Overview Object detection and insta
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
The DeepMind Alchemy environment is a meta-reinforcement learning benchmark that presents tasks sampled from a task distribution with deep underlying structure.
tool for creating installers from conda packages
(conda) Constructor Description Constructor is a tool which allows constructing an installer for a collection of conda packages. It solves needed pack
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
THE PROJECT IS ARCHIVED Forks: https://github.com/orsinium/forks DepHell -- project management for Python. Why it is better than all other tools: Form
OS-agnostic, system-level binary package manager and ecosystem
Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by Anaconda installations, but it may be used for
A PipEnv Environment Switcher
Pipes Pipenv Environment Switcher ⚡ Overview Pipes is a Pipenv companion CLI tool that provides a quick way to jump between your pipenv powered projec
A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
ConfigArgParse Overview Applications with more than a handful of user-settable options are best configured through a combination of command line args,
Configuration Management for Python ⚙
dynaconf - Configuration Management for Python. Features Inspired by the 12-factor application guide Settings management (default values, validation,
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
Django-environ django-environ allows you to use Twelve-factor methodology to configure your Django application with environment variables. import envi
Spyder - The Scientific Python Development Environment
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.
🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.
Best-of Python Developer Tools 🏆 A ranked list of awesome python developer tools and libraries. Updated weekly. This curated list contains 250 awesom
Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API
gpt3-instruct-sandbox Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API Description This project updates an existing GPT-3 san
PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM positioning, and navigation.
简体中文 | English PaddleRobotics paddleRobotics是基于paddle的机器人开源算法库集,包括人机交互、复杂运动控制、环境感知、slam定位导航等开源算法部分。 人机交互 主动多模交互技术TFVT-HRI 主动多模交互技术是通过视觉、语音、触摸传感器等输入机器人
An interactive GUI for WhiteboxTools in a Jupyter-based environment
whiteboxgui An interactive GUI for WhiteboxTools in a Jupyter-based environment GitHub repo: https://github.com/giswqs/whiteboxgui Documentation: http
System checks for your project's environment.
django-version-checks System checks for your project's environment. Requirements Python 3.6 to 3.9 supported. Django 2.2 to 3.2 supported. Are your te
OS-agnostic, system-level binary package manager and ecosystem
Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by Anaconda installations, but it may be used for
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline
Python Environment for Bayesian Learning
Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl in
Virtual Python Environment builder
virtualenv A tool for creating isolated virtual python environments. Installation Documentation Changelog Issues PyPI Github Code of Conduct Everyone
Official repository for Spyder - The Scientific Python Development Environment
Copyright © 2009–2021 Spyder Project Contributors Some source files and icons may be under other authorship/licenses; see NOTICE.txt. Project status B
Emacs Python Development Environment
Elpy, the Emacs Python IDE Elpy is an Emacs package to bring powerful Python editing to Emacs. It combines and configures a number of other packages,
Strict separation of config from code.
Python Decouple: Strict separation of settings from code Decouple helps you to organize your settings so that you can change parameters without having