Stars
Framework and toolkits for building and evaluating collaborative agents that can work together with humans.
A data construction and evaluation framework to quantify privacy norm awareness of language models (LMs) and emerging privacy risk of LM agents. (NeurIPS 2024 D&B)
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
High-performance In-browser LLM Inference Engine
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Resource, Evaluation and Detection Papers for ChatGPT
Large Language Model Text Generation Inference
Accessible large language models via k-bit quantization for PyTorch.
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
A high-throughput and memory-efficient inference and serving engine for LLMs
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
Interact with your documents using the power of GPT, 100% privately, no data leaks
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
[ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on a customized score ru…
DSPy: The framework for programming—not prompting—language models
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
[ACL 2023] Class-Incremental Learning based on Label Generation
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
An Extensible Continual Learning Framework Focused on Language Models (LMs)
[EMNLP 2022] Adapting a Language Model While Preserving its General Knowledge
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection