GabrielBena

GabrielBena's Stars

• maxencefaldor/cax

  Cellular Automata Accelerated in JAX

  Language:Python31

• maxencefaldor/omni-epic

  OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code

  Language:Python201

• QuivrHQ/quivr

  Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework

  Language:Python36k3.5k

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python40.2k5.6k

• gorodnitskiy/yet-another-lightning-hydra-template

  Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

  Language:Python1949

• tnowotny/genn_eventprop

  Implementation of eventprop learning in GeNN

  Language:Jupyter Notebook141

• genn-team/genn

  GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

  Language:C++23357

• lolemacs/pytorch-eventprop

  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

  Language:Python4910

• fmi-basel/stork

  A differentiable spiking neural network simulator

  Language:Python134

• AmirhosseinR/e-prop-on-gsc

  E-prop on spinnaker 2: exploring online learning in spiking rnns on neuromorphic hardware

  Language:Python2

• jeshraghian/snntorch

  Deep and online learning with spiking neural networks in Python

  Language:Python1.3k214

• neuromorphs/NIR

  Neuromorphic Intermediate Representation reference implementation

  Language:Jupyter Notebook7010

• abraunegg/onedrive

  OneDrive Client for Linux

  Language:D9.9k856

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript11.9k2.5k

• patrickmineault/ml-theory-reading-list

  An annotated reference list of ML theory

  321

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.3k606

• CharlesChiuGit/Logseq-Git-Sync-101

  This repo aims to help Logseq users to sync their data with Git and GitHub.

  Language:Shell1.1k89

• neural-reckoning/cosyne-tutorial-2022

  Cosyne workshop tutorial 2022

  Language:Jupyter Notebook10430

• maxencefaldor/dqn

  A compact and flexible DQN implementation as well as a variety of improvements leading to the rainbow agent.

  Language:Jupyter Notebook41