chi2liu

chi2liu's Stars

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python39k4.3k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX52.3k5.1k

• Timothyxxx/Chain-of-ThoughtsPapers

  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

  2k132

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript58.2k8.6k

• DivergentAI/dreamGPT

  Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

  Language:Python57239

• openlm-research/open_llama

  OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

  7.4k381

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  11.5k776

• Lightning-AI/lit-llama

  Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  Language:Python6k518

• lxe/simple-llm-finetuner

  Simple UI for LLM Model Finetuning

  Language:Jupyter Notebook2k130

• Mooler0410/LLMsPracticalGuide

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

  9.6k745

• qwopqwop200/GPTQ-for-LLaMa

  4 bits quantization of LLaMA using GPTQ

  Language:Python3k460

• junchen14/Awesome_ChatGPT_papers

  This repository will collect and share awesome ChatGPT related papers and useful tools

  171

• tensorchord/Awesome-LLMOps

  An awesome & curated list of best LLMOps tools for developers

  Language:Shell4.2k413

• nomic-ai/gpt4all

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

  Language:C++71.7k7.8k

• microsoft/FLAML

  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

  Language:Jupyter Notebook4k517

• juncongmoo/pyllama

  LLaMA: Open and Efficient Foundation Language Models

  Language:Python2.8k308

• nebuly-ai/exploring-AI-optimization

  Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀

  11311

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k637

• nebuly-ai/nos

  Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!

  Language:Go64236

• ebhy/budgetml

  Deploy a ML inference service on a budget in less than 10 lines of code.

  Language:Python1.3k65

• ELS-RD/transformer-deploy

  Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

  Language:Python1.7k151

• facebookincubator/AITemplate

  AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

  Language:Python4.6k373

• xorbitsai/xorbits

  Scalable Python DS & ML, in an API compatible & lightning fast way.

  Language:Python1.1k70

• wong2/chatgpt-google-extension

  This project is deprecated. Check my new project ChatHub:

  Language:TypeScript13.2k1.5k

• tensorchord/envd

  🏕️ Reproducible development environment

  Language:Go2.1k159

• tommyod/Efficient-Apriori

  An efficient Python implementation of the Apriori algorithm.

  Language:Python32560

• Mathegineer/HJW_KL_divergence_estimator

  Language:Python105

• nhartland/KL-divergence-estimators

  Testing methods for estimating KL-divergence from samples.

  Language:Python6219

• pedroharunari/KLD_estimation

  Estimation of Kullback-Leibler divergence based on DOI:10.1109/ISIT.2008.4595271, by Fernando Pérez-Cruz

  Language:Jupyter Notebook33

• mitre/menelaus

  Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.

  Language:Python687