JerryPan2718

JerryPan2718's Stars

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go91.5k5434.5k7.2k

• binhnguyennus/awesome-scalability

  The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

  58.4k1.9k06k

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python44k8996335.2k

• OpenDevin/OpenDevin

  🐚 OpenDevin: Code Less, Make More

  Language:Python30.2k2811.3k3.5k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29k2.2k01.6k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.1k71718.3k5.6k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16k1071k1.6k

• 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 can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.4k973741.3k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.4k68105668

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python10.1k897531k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7k137475923

• SkalskiP/courses

  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

  Language:Python5.3k907480

• arcee-ai/mergekit

  Tools for merging pretrained large language models.

  Language:Python4.6k50301406

• pytorch/torchtune

  A Native-PyTorch Library for LLM Fine-tuning

  Language:Python4k46578370

• lightdash/lightdash

  Self-serve BI to 10x your data team ⚡️

  Language:TypeScript3.8k285.7k402

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python3.1k19247239

• AutoViML/AutoViz

  Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python1.7k3294197

• pytorch/ao

  PyTorch native quantization and sparsity for training and inference

  Language:Python93038214105

• langchain-ai/langsmith-cookbook

  Language:Jupyter Notebook7511491144

• bacalhau-project/bacalhau

  Compute over Data framework for public, transparent, and optionally verifiable computation

  Language:Go675242.3k87

• lhao499/ringattention

  Transformers with Arbitrarily Large Context

  Language:Python57151543

• minyoungg/platonic-rep

  Language:Python43712726

• microsoft/rat-sql

  A relation-aware semantic parsing model from English to SQL

  Language:Python4061868117

• adithya-s-k/LLM-Alchemy-Chamber

  a friendly neighborhood repository with diverse experiments and adventures in the world of LLMs

  Language:Jupyter Notebook1361130

• cuda-mode/triton-index

  Cataloging released Triton kernels.

  113405

• jasonrobwebster/langchain-webscraper-demo

  A chatbot demo that scrapes a website and stores the result in a vector db, which can then be queried via natual language - chatgpt style.

  Language:Python272010

• ai-detected/ai-content-detectors

  An awesome list of the best AI content detectors.

  22003

• JerryPan2718/Papers

  Summaries of readings in operating systems, and machine learning

  3200

• yimothysu/cartpole

  Deep Q-learning on OpenAI Gym's Cartpole.

  Language:Python2101

• JerryPan2718/OpenDevin

  🐚 OpenDevin: Code Less, Make More

  1