snehjp2

snehjp2'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.

  Language:Python170k1.5k3k44.7k

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.4k6462k7.8k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k417694.3k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36k3472.9k4.2k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k3442694.1k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.7k261722.6k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++18k1485891k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k454201.6k

• ml-explore/mlx-examples

  Examples in the MLX framework

  Language:Python6.4k71535918

• whitead/paper-qa

  LLM Chain for answering questions from documents with citations

  Language:Python3.8k40141365

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695520

• juncongmoo/pyllama

  LLaMA: Open and Efficient Foundation Language Models

  Language:Python2.8k3593309

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.7k2428195

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.5k23354136

• omarsar/nlp_overview

  Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

  Language:CSS1.3k2399199

• google/learned_optimization

  Language:Python757141663

• QUVA-Lab/e2cnn

  E(2)-Equivariant CNNs Library for Pytorch

  Language:Python614185875

• sbi-dev/sbi

  Simulation-based inference toolkit

  Language:Python61120631154

• srush/annotated-mamba

  Annotated version of the Mamba paper

  Language:Jupyter Notebook46322318

• PrincetonUniversity/multi_gpu_training

  Language:Python2773341

• clementchadebec/pyraug

  Data Augmentation with Variational Autoencoders (TPAMI)

  Language:Python1393715

• smsharma/AIrXiv

  AI-powered arXiv research assistant prototype.

  Language:Python72325

• keerthanpg/DadJokeGenerator

  Language:Python45106

• henrysky/Galaxy10

  A CIFAR10-like galaxy image dataset

  Language:Python29432

• smsharma/point-cloud-galaxy-diffusion

  Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141

  Language:Jupyter Notebook22364

• iaifi/summer-school-2023

  Language:Jupyter Notebook215013

• Rose-STL-Lab/Approximately-Equivariant-Nets

  Language:Python18141

• florpi/summer_school_generative

  Language:Jupyter Notebook13202

• smsharma/iaifi-hackathon-2024

  Starter notebooks for self-supervised/multimodal machine learning and neural simulation-based inference, for the 2024 IAIFI Astro Hackathon.

  Language:Jupyter Notebook5104

• AleksCipri/DeepAdversaries

  Studying robustness of deep learning algorithms to adversarial attacks that may naturally arise from scientific data pipelines, such as LSST.

  Language:Jupyter Notebook4201