rishabhranawat

rishabhranawat's Stars

• gnovack/easy-ssm

  Language:Python1

• knotgrass/attention

  several types of attention modules written in PyTorch

  Language:Python379

• commaai/controls_challenge

  Language:Python96100

• sierra-research/tau-bench

  Code and Data for Tau-Bench

  Language:Python8810

• entropy-research/Devon

  Devon: An open-source pair programmer

  Language:Python3.1k252

• mustafaaljadery/gemma-2B-10M

  Gemma 2B with 10M context length using Infini-attention.

  Language:Python93457

• google-deepmind/penzai

  A JAX research toolkit for building, editing, and visualizing neural networks.

  Language:Python1.6k50

• princeton-nlp/SWE-bench

  [ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

  Language:Python1.7k288

• 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:Python13.3k1.3k

• google-deepmind/gemma

  Open weights LLM from Google DeepMind.

  Language:Python2.4k298

• gordicaleksa/get-started-with-JAX

  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook62296

• srush/annotated-mamba

  Annotated version of the Mamba paper

  Language:Jupyter Notebook44416

• srush/Tensor-Puzzles

  Solve puzzles. Improve your pytorch.

  Language:Jupyter Notebook3k246

• nad372/covid-tracker

  Language:Python2

• modal-labs/llm-finetuning

  Guide for fine-tuning Llama/Mistral/CodeLlama models and more

  Language:Python51577

• mistralai/mistral-inference

  Official inference library for Mistral models

  Language:Jupyter Notebook9.5k835

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.4k9.4k

• alexrozanski/LlamaChat

  Chat with your favourite LLaMA models in a native macOS app

  Language:Swift1.5k56

• PromtEngineer/localGPT

  Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

  Language:Python19.8k2.2k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

  Language:Jupyter Notebook11.5k1.6k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.3k702

• OpenGVLab/LLaMA-Adapter

  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

  Language:Python5.7k371

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook92.1k14.7k

• modal-labs/modal-examples

  Examples of programs built using Modal

  Language:Python681155

• kkirchheim/pytorch-ood

  👽 Out-of-Distribution Detection with PyTorch

  Language:Python23323

• Jingkang50/OpenOOD

  Benchmarking Generalized Out-of-Distribution Detection

  Language:Python825106

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.7k1.3k

• zal/simenvbenchmark

  Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning

  Language:Python252

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++11.1k3.6k

• sukrutrao/Adversarial-Patch-Training

  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

  Language:Python418