839 Open source projects that are alternatives of or similar to Darwin

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Supported highly optimized and flexible genetic algorithm package for python

Tiny Genetic Programming in Python

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

Data augmentation for NLP

Visualizer for neural network, deep learning, and machine learning models

DepthAI Python API utilities, examples, and tutorials.

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.

A curated list of references for MLOps

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Open source platform for the machine learning lifecycle

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

CNN image classifier implemented in Keras Notebook 🖼️.

The MacGraph network. An attempt to get MACnets running on graph knowledge

Solve multi-objective optimization problems with distributed evolutionary algorithms

Model Serving Made Easy

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

😎 A curated list of awesome MLOps tools

Sharing Updatable Models (SUM) on Blockchain

🚀 Build and manage real-life data science projects with ease!

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Samples and Tools for Windows ML.

Flutter-Python rubiks cube solver.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Multi-class confusion matrix library in Python

Caffe2 is a lightweight, modular, and scalable deep learning framework.

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Experiment tracking for machine and deep learning projects

An Engine-Agnostic Deep Learning Framework in Java

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

Simple and Distributed Machine Learning

AI research environment for the Atari 2600 games 🤖.

A fast Evolution Strategy implementation in Python

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

Evolution Simulator with Box2D

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

An app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Grakn Knowledge Graph Library (ML R&D)

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Self-hosted IPTV/NVR/CCTV/Video service (Community version)

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

XAI - An eXplainability toolbox for machine learning

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

speaker diarization system using an LSTM

A proof-of-concept implementation of Goal Oriented Action Planning in JavaScript

A model to transform english into Cypher queries, based off the CLEVR-graph dataset