murkyness

Chicago95

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

brunch-toolkit

Stable release channel for the Brunch Toolkit

brunch

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

MCExtractor

Intel, AMD, VIA & Freescale Microcode Extraction Tool

labml

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

doslinux

Run Linux programs on DOS

dosemu2

Run DOS programs under linux:

fdpp

FreeDOS plus-plus, 64bit DOS

KMS_VL_ALL

🔑KMS_VL_ALL - Smart Activation Script

PyTorch-NEAT

DeepHyperNEAT

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

exact

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

sparse-evolutionary-artificial-neural-networks

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 boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

evolution-strategies-starter

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

Evolution-Strategies-PyTorch

Implementation of OpenAI's Evolution Strategies in PyTorch.

estorch

Evolution Strategy Library

norse

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

evolution-learning

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

ml-workspace

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

gluonts

Probabilistic time series modeling in Python

smile

Statistical Machine Intelligence & Learning Engine

pytorch-spiking

Spiking neuron integration for PyTorch

eiten

Statistical and Algorithmic Investing Strategies for Everyone

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

scikit-opt

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

DeepEvolve

Rapid hyperparameter discovery for neural nets using genetic algorithms

AutoDL

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

ML-From-Scratch

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 learning.

Awesome-AutoDL

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

autogluon

Fast and Accurate ML in 3 Lines of Code