farhatnadim

farhatnadim's Stars

• facebookresearch/sapiens

  High-resolution models for human tasks.

  Language:Python3.3k168

• alexispomares/auditory-oddball

  A simple auditory Oddball Paradigm for EEG/Neurostimulation experimental sessions.

  Language:Python42

• brainstorm-tools/brainstorm3

  Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

  Language:MATLAB373161

• linkedin/Liger-Kernel

  Efficient Triton Kernels for LLM Training

  Language:Python2.6k114

• lean-dojo/LeanCopilot

  LLMs as Copilots for Theorem Proving in Lean

  Language:C++93179

• karpathy/nano-llama31

  nanoGPT style version of Llama 3.1

  Language:Python1.1k49

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23k2.6k

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.7k1k

• anthonyweidai/SvANet

  Official implementation of "Exploiting Scale-Variant Attention for Segmenting Small Medical Objects"

  Language:Python241

• OpenBluetoothToolbox/SimpleBLE

  SimpleBLE - the all-in-one Bluetooth library for MacOS, iOS, Windows, Linux and Android.

  Language:C++657110

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook12.9k1k

• ZigRazor/CXXGraph

  Header-Only C++ Library for Graph Representation and Algorithms

  Language:C++441107

• Haoyulance/WPSS

  Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter

  Language:Python102

• IvanDrokin/torch-conv-kan

  This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

  Language:Python34425

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++64.3k9.2k

• mcinglis/c-style

  My favorite C programming practices.

  2k97

• xmindflow/DAEFormer

  [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

  Language:Python10212

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.8k338

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.3k1.3k

• adam-maj/tiny-gpu

  A minimal GPU design in Verilog to learn how GPUs work from the ground up

  Language:SystemVerilog6.9k513

• karpathy/micrograd

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

  Language:Jupyter Notebook9.9k1.4k

• mariannerakic/Tyche

  Language:Python392

• google/gemma.cpp

  lightweight, standalone C++ inference engine for Google's Gemma models.

  Language:C++5.9k499

• BasedHardware/Omi

  AI wearables

  Language:C3.2k370

• plandex-ai/plandex

  AI driven development in your terminal. Designed for large, real-world tasks.

  Language:Go10.5k725

• princeton-nlp/SWE-agent

  SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

  Language:Python13.2k1.3k

• NeuroTechX/EEG-ExPy

  EEG Experiments in Python

  Language:Python427124

• canozcivelek/adaptive-led-matrix-highbeams

  A project to demonstrate how an adaptive LED high beam technology would work.

  Language:Python293

• gautierdag/bpeasy

  Fast bare-bones BPE for modern tokenizer training

  Language:Python1372

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.2k498