Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

[ECCV 2024] Better Call SAL: Towards Learning to Segment Anything in Lidar

Python library and shell utilities to monitor filesystem events.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

AO2-DETR: Arbitrary-Oriented Object Detection Transformer

The Project of ECCV 2024 Oral Paper "Oriented Object Detection vis Point-Axis Representation"

LangChain for Beginners Course

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Hackable and optimized Transformers building blocks, supporting a composable construction.

Depth Anything 3

Universal Scene Description

A video database bridging human actions and human-object relationships

Become a cracked AI/ML Research Engineer

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Development repository for the Triton language and compiler

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

PyTorch code and models for the DINOv2 self-supervised learning method.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Reference PyTorch implementation and models for DINOv3

Fast Segment Anything

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

Supercharge Your LLM Application Evaluations 🚀

Data Science Book Collections