ohsuz

ohsuz's Stars

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python19.1k3054k4.3k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.5k1051161.2k

• OpenBMB/ToolBench

  [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

  Language:Python4.9k49304430

• meta-llama/llama-stack-apps

  Agentic components of the Llama Stack APIs

  4k12063640

• awslabs/multi-agent-orchestrator

  Flexible and powerful framework for managing multiple AI agents and handling complex conversations

  Language:Python3.6k3276267

• Zjh-819/LLMDataHub

  A quick guide (especially) for trending instruction finetuning datasets

  2.7k503175

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.6k48166296

• mlabonne/llm-datasets

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

  2.2k351187

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook2k24365242

• Nutlope/llamatutor

  An AI personal tutor built with Llama 3.1

  Language:TypeScript1.5k185239

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.4k33286376

• Tebmer/Awesome-Knowledge-Distillation-of-LLMs

  This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

  70611540

• ChenghaoMou/text-dedup

  All-in-one text de-duplication

  Language:Python64147171

• tianyi-lab/Reflection_Tuning

  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

  Language:Python3434530

• tianyi-lab/Cherry_LLM

  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other models

  Language:Python32333021

• braintrustdata/autoevals

  AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.

  Language:Python29931423

• davanstrien/awesome-synthetic-datasets

  awesome synthetic (text) datasets

  Language:Jupyter Notebook2517211

• huridocs/pdf-document-layout-analysis

  A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on.

  Language:Python21582224

• sambanova/toolbench

  ToolBench, an evaluation suite for LLM tool manipulation capabilities.

  Language:Python1441411

• tianyi-lab/Superfiltering

  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

  Language:Python1352612

• microsoft/llmops-workshop

  Learn how to build solutions with Large Language Models.

  Language:Jupyter Notebook1307347

• ZHZisZZ/modpo

  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

  Language:Python61234

• hist0613/arxivbot

  Language:Python573282

• dsdanielpark/hf-transllm

  LLMtranslator translates and generates text in multiple languages.

  Language:Jupyter Notebook41313

• Azure/slm-innovator-lab

  This lab is a 1-day/2-day end-to-end SLM workshop led and developed by AI GBB. Attendees will learn how to quickly and easily perform the data preparation-fine tuning-serving-LLMOps series of processes using Azure ML Studio and AI Studio, and will be able to expand the workload based on this.

  Language:Jupyter Notebook315013

• J-Seo/KoCommonGEN-V2

  KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models

  Language:Python25401

• dsdanielpark/arxiv2text

  Converting PDF files to text, mainly with a focus on arXiv papers.

  Language:Jupyter Notebook14221

• aeolian83/paper_translator

  Language:Python9100

• DojunPark/multidimensional_MTE

  Language:Jupyter Notebook2101

• Marker-Inc-Korea/Logickor-Gemma2-Eval

  Logickor self-evaluation code (with gemma2)

  Language:Python1