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acme

A library of reinforcement learning components and agents

ai-thinker-wb2

ai-wb2_series

Software Development Kit for Ai-Thinker's Ai-WB2 modules.

annotated-voyager

voyager 源码分析笔记, 请切换到分支 annotated-2023-05-30: https://github.com/better-py/annotated-voyager/tree/annotated-2023-05-30

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-data-science

Probably the best curated list of data science software in Python.

awesome-python2

A curated list of awesome Python frameworks, libraries and software.

blackbox-tools

Tools for working with blackbox flight logs

bm3d

BM3D denoising method implementation on Python

boids

Boid Flocking Simulation

dabble

Arduino Library for Dabble app, which includes virtual shields for robot control, sensors, camera, IoT and much more. Compatible with Bluetooth modules like HC-05, HC-06, HM-10, and ESP32 (BLE or Bluetooth 2.0 or 4.0)

diffmic

[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

dreamerv3

Mastering Diverse Domains through World Models

drldbackend

Deep Reinforcement Learning methods for an autonomous drone

drone-2d-reinforcement-learning

OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

esp32-s2-s3-projects

Using the native USB interface of ESP32 S2/S3

etherscan-webscraping

Extracting data from Etherscan

final-capstone

This project used machine learning to understand characteristics of terrorist groups that engage in suicide bombings.

flightmare

An Open Flexible Quadrotor Simulator

flightmare_unity

flock_env

Boid flock multi-agent RL training environment

flocking

An implementation of Boid's flocking using Reynold's model.

flocking-multi-agent

Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular formation.

flocking-rl

An implementation of Reynold's model based RL flocking.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

global-terrorism-database-k-means

A visualization of k-means clustering on terrorist attack locations

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!