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

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorR…

This is a webpage that provides various information for conferences, including their submission deadlines.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Efficient Triton Kernels for LLM Training

Go ahead and axolotl questions

Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers t…

The implementation of DeBERTa

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Train transformer-based models.

카카오 추천팀 공개 리포지토리입니다.

aioodbc - is a library for accessing a ODBC databases from the asyncio

A javascript library to run SQLite on the web.

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Mirror of Apache Samoa (Incubating)

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

숙제를 테스트하고, 제출합니다

현업 분석가가 추천하는 데이터 분석 슬라이드를 아카이브 합니다.