Jayanth-Balasubramanian

Jayanth-Balasubramanian's Stars

• TorchJD/torchjd

  Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

  Language:Python130

• amlweems/xzbot

  notes, honeypot, and exploit demo for the xz backdoor (CVE-2024-3094)

  Language:Go3.5k235

• rust-unofficial/awesome-rust

  A curated list of Rust code and resources.

  Language:Rust45.9k2.7k

• geronimi73/accelerate_tricks

  Language:Jupyter Notebook81

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++65.1k9.3k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.3k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.2k2.9k

• google/sanitizers

  AddressSanitizer, ThreadSanitizer, MemorySanitizer

  Language:C11.4k1k

• tpope/vim-fugitive

  fugitive.vim: A Git wrapper so awesome, it should be illegal

  Language:Vim Script19.8k1k

• lunaflight/courserekt

  Simple interface to see the history of course demand and allocation

  Language:Python3916

• jrmoulton/tmux-sessionizer

  Tmux Sessionizer: A tool for opening git repositories as tmux sessions

  Language:Rust37930

• IlanCosman/tide

  🌊 The ultimate Fish prompt.

  Language:Shell2.9k108

• xoreaxeaxeax/vimmmex

  The vim execution engine

  1139

• kxrt/Singapore-Summer2024-TechInternships

  🇸🇬 Summer 2024 Tech Internships - Singapore 🇸🇬

  23513

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.2k50

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.7k5.5k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.7k3k

• xiaomengyc/Few-Shot-Semantic-Segmentation-Papers

  Few Shot Semantic Segmentation Papers

  815100

• Xiangyi1996/PPNet-PyTorch

  Language:Python12220

• floodsung/LearningToCompare_FSL

  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

  Language:Python1k268

• jakesnell/prototypical-networks

  Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

  Language:Python1.1k252

• WangYueFt/rfs

  Language:Python36766

• sicara/easy-few-shot-learning

  Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

  Language:Python1k140

• oscarknagg/few-shot

  Repository for few-shot learning machine learning projects

  Language:Python1.2k245

• Shandilya21/Few-Shot

  A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

  Language:Python719

• bchiang7/v4

  Fourth iteration of my personal website built with Gatsby

  Language:JavaScript7.5k3.7k

• EnterpriseQualityCoding/FizzBuzzEnterpriseEdition

  FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

  Language:Java21.2k750

• gayolGate/gayolGate

  Information about my GitHub profile

  303132

• Jayanth-Balasubramanian/ip

  Language:Java1

• ajayyy/SponsorBlock

  Skip YouTube video sponsors (browser extension)

  Language:TypeScript9.8k320