AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.

Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research

Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

Structured generation in Rust

TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle

Network Analysis in Python

Tree edit distance using the Zhang Shasha algorithm

Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

A blazing fast inference solution for text embeddings models

DSPy: The framework for programming—not prompting—language models

🌎💪 BrowserGym, a Gym environment for web task automation

WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?

Large Language Model Text Generation Inference

Structured Text Generation

A guidance language for controlling large language models.

🦜🔗 Build context-aware reasoning applications

A framework for few-shot evaluation of language models.

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

SGPT: GPT Sentence Embeddings for Semantic Search

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

Efficient few-shot learning with Sentence Transformers

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

reStructured Pre-training

State-of-the-Art Text Embeddings

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

Repo for external large-scale work

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools