RomainClaret
Evolving Neural Networks for Humanity-inspired Artificial Intelligence researcher. Continual learning based on neural modulation, sparsity, and spiking.
University of Neuchâtel & ArtificialkindSwitzerland
RomainClaret's Stars
Significant-Gravitas/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.
terry3041/pyChatGPT
An unofficial Python wrapper for OpenAI's ChatGPT API
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
iMoonLab/HGNN
Hypergraph Neural Networks (AAAI 2019)
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
antimatter15/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
chrxh/alien
ALIEN is a CUDA-powered artificial life simulation program.
ukuleleplayer/pureples
Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
sbcblab/Keras-CoDeepNEAT
CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.
crisbodnar/TensorFlow-NEAT
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
ShangtongZhang/DistributedES
Distributed implementation of popular evolutionary methods
PacktPublishing/Hands-on-Neuroevolution-with-Python
Hands-on Neuroevolution with Python, Published by Packt
MorvanZhou/Evolutionary-Algorithm
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
dcmocanu/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).
shyamsn97/mario-gpt
[Neurips 2023] Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981
Alro10/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
PaulPauls/Tensorflow-Neuroevolution
Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT
meta-llama/llama
Inference code for Llama models
openai/evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
gonzalobg/cpp_hpc_tutorial
C++ HPC Tutorial materials
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
randlab/ccfs_for_users
Introduction guide for users of the linux cluster galileo (ccfs)
d9w/Cambrian.jl
An Evolutionary Computation framework
TemplierPaul/NeuroEvolution.jl
Julia implementation of NEAT and HyperNEAT
wildart/Evolutionary.jl
Evolutionary & genetic algorithms for Julia
JuliaInterop/MathLink.jl
Julia language interface for Mathematica/Wolfram Engine
ben-izd/shared_memory
Share data between Python - Julia - Matlab - Java - Wolfram Language (Mathematica) through memory