A rendition of everyone's favorite 1995 Microsoft operating system for Linux.

Stable release channel for the Brunch Toolkit

Boot ChromeOS on x86_64 PC - Supports Intel CPU/GPU from 8th gen or AMD Ryzen

Intel, AMD, VIA & Freescale Microcode Extraction Tool

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Run Linux programs on DOS

Run DOS programs under linux:

FreeDOS plus-plus, 64bit DOS

🔑KMS_VL_ALL - Smart Activation Script

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_repo…

The Evolutionary eXploration of Neural Networks Framework -- EXAMM, EXA-GP and EXACT

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to b…

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Implementation of OpenAI's Evolution Strategies in PyTorch.

Evolution Strategy Library

Deep learning with spiking neural networks (SNNs) in PyTorch.

🐣 Code for my master thesis "Biologically Plausible Deep Learning through Neuroevolution"

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Probabilistic time series modeling in Python

Statistical Machine Intelligence & Learning Engine

Spiking neuron integration for PyTorch

Statistical and Algorithmic Investing Strategies for Everyone

Code for Tensorflow Machine Learning Cookbook

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…

Rapid hyperparameter discovery for neural nets using genetic algorithms

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Fast and Accurate ML in 3 Lines of Code