attilalukacs94

attilalukacs94's Stars

• Mozilla-Ocho/llamafile

  Distribute and run LLMs with a single file.

  Language:C++19.3k177411981

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++16.6k141522946

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.6k1161.7k1k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.6k87991k

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook6.9k8613668

• InternLM/MindSearch

  🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

  Language:Python4.7k35133468

• andrewyng/translation-agent

  Language:Python4.6k5115532

• asg017/sqlite-vec

  A vector search SQLite extension that runs anywhere!

  Language:C3.9k5489130

• deepseek-ai/DeepSeek-Coder-V2

  DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

  2k2250100

• BindsNET/bindsnet

  Simulation of spiking neural networks (SNNs) using PyTorch.

  Language:Python1.5k42237331

• jeshraghian/snntorch

  Deep and online learning with spiking neural networks in Python

  Language:Python1.3k31110216

• austin-starks/NextTrade

  A system that performs algorithmic trading

  Language:TypeScript1.1k321182

• brian-team/brian2

  Brian is a free, open source simulator for spiking neural networks.

  Language:Python92446841219

• zsyOAOA/ResShift

  ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

  Language:Python867159147

• google/evojax

  Language:Jupyter Notebook831232882

• DAMO-NLP-SG/VideoLLaMA2

  VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

  Language:Python75298150

• ridgerchu/SpikeGPT

  Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

  Language:Python746141177

• illuin-tech/colpali

  The code used to train and run inference with the ColPali architecture.

  Language:Python66583660

• norse/norse

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

  Language:Python6521516382

• zhudotexe/kani

  kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

  Language:Python55791430

• ai-dock/comfyui

  ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

  Language:Shell544988192

• brainqub3/meta_expert

  Versatile agents for long running, research intensive tasks.

  Language:Python31482496

• fzenke/spytorch

  Tutorial for surrogate gradient learning in spiking neural networks

  Language:Jupyter Notebook280171176

• run-llama/multi-agent-concierge

  Language:Python2209834

• ataylorm/FluxAIGridComparisons

  A collection of various image grids created with Flux. Things like hair styles, clothing, nationalities, ages, etc.

  Language:JavaScript139518

• illuin-tech/vidore-benchmark

  Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

  Language:Python111318

• zhudotexe/redel

  ReDel is a toolkit for researchers and developers to build, iterate on, and analyze recursive multi-agent systems.

  Language:Python514110

• HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction

  This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.

  Language:Python28335

• fg-research/lnn-sagemaker

  SageMaker implementation of liquid neural networks (LNNs) for time series forecasting.

  Language:Jupyter Notebook13104

• babycommando/liquid-neural-networks

  Series of tests on Liquid Neural Networks

  Language:Jupyter Notebook10