Or4cl3-1

numpy

The fundamental package for scientific computing with Python.

grype

A vulnerability scanner for container images and filesystems

janusgraph

JanusGraph: an open-source, distributed graph database

mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

babyagi-asi

BabyAGI: an Autonomous and Self-Improving agent, or BASI

e2b-cookbook

Examples of using E2B

tydiqa

TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.

WildBench

Benchmarking LLMs with Challenging Tasks from Real Users

commonsenseqa

Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"

awesome-devins

Awesome Devin-inspired AI agents

R-Tuning

[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"

Build-your-own-AI-Assistant-Solution-Accelerator

Solution Accelerator to show how to build your own AI Assistant

ICD

Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"

CaR

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation

lmeval-train-tasks

Task definitions for lm-eval that use the benchmark train splits.

llm-datasets

High-quality datasets, tools, and concepts for LLM fine-tuning.

GPTQ-for-LLaMa-CUDA

A combination of Oobabooga's fork and the main cuda branch of GPTQ-for-LLaMa in a package format.

node-mlx

Machine learning framework for Node.js.

distilabel

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

presentation-voice

https://presentation-demo-mu.vercel.app

ContinualLM

An Extensible Continual Learning Framework Focused on Language Models (LMs)

CriticBench

Repo for "CriticBench: Benchmarking LLMs for Critique-Correct Reasoning"

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

prompt2model

prompt2model - Generate Deployable Models from Natural Language Instructions

promptbase

All things prompt engineering

PyContinual

PyContinual (An Easy and Extendible Framework for Continual Learning)

SelfDenoise

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

big-AGI

Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.