-
02:11
(UTC +09:00)
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
Large Concept Models: Language modeling in a sentence representation space
PyTorch per step fault tolerance (actively under development)
Bringing BERT into modernity via both architecture changes and scaling
Dataset and code for paper: "Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese".
[SIGIR'24] Generative Retrieval as Multi-Vector Dense Retrieval
SGLang is a fast serving framework for large language models and vision language models.
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Blairruc-pku / OpAdviser
Forked from PKU-DAIR/DBTuneAn Efficient Transfer Learning Based Configuration Adviser for Database Tuning
This is the github repo for our CoLM 2024 paper "Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness".
PyTorch Extension Library of Optimized Scatter Operations
XTR: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM