HarrisonWu42

llama3

The official Meta Llama 3 GitHub site

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

MiniCPM-V

MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

InternVL

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的可商用开源多模态对话模型

torchtune

A Native-PyTorch Library for LLM Fine-tuning

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

omnimotion

cambrian

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

clash_singbox-tutorials

Clash 和 sing-box 教程合集——安装、配置、自定义规则、DNS 分流

LLM-Agents-Papers

A repo lists papers related to LLM based agent

clash-for-linux

clash-for-linux

RMT

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

ARTrack

awesome-foundation-model-leaderboards

A curated list of awesome leaderboards for foundation models

MIM-Depth-Estimation

This is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.

ODTrack

The official implementation for the paper [ODTrack: Online Dense Temporal Token Learning for Visual Tracking].

GRM

[CVPR'23] The official PyTorch implementation of our CVPR 2023 paper: "Generalized Relation Modeling for Transformer Tracking".

TC-MoA

Task-Customized Mixture of Adapters for General Image Fusion (CVPR 2024)

EgoPlan

ROMTrack

[ICCV 2023] Robust Object Modeling for Visual Tracking, Official Implementation

OmniTrackFast

Official Code For Track Everything Everywhere Fast and Robustly

TGSR

This is the official implementation with training code for “Trajectory Guided Robust Visual Object Tracking with Selective Remedy”.

TTL

Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"

minimum-ijepa

learning_research

本人的科研经验

unofficial-SiameseMAE

unofficial pytorch implement for Siamese-Masked Autoencoder