🔥 Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Website of TrafficCAM: https://math-ml-x.github.io/TrafficCAM/

The simplest, fastest repository for training/finetuning medium-sized GPTs.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.

Instruct-tune LLaMA on consumer hardware

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

PyTorch implementation of Contrastive Learning methods

Evaluate three types of task shifting with popular continual learning algorithms.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

deep learning for image processing including classification and object-detection etc.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

✨✨Latest Advances on Multimodal Large Language Models

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

机器学习、大模型学习路线

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms