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HongHu's starred repositories

LLM-in-Vision

Recent LLM-based CV and related works. Welcome to comment/contribute!

73000

MiniGPT4-video

Official code for MiniGPT4-video

Language:PythonBSD-3-Clause38600

moondream

tiny vision language model

Language:Jupyter NotebookApache-2.0394600

Awesome-LLM4AD

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

Apache-2.064000

A simple tool to batch process messages using OpenAI's GPT models. `GPTBatcher` allows for efficient handling of multiple requests simultaneously, ensuring quick responses and robust error management.

Language:Python3400

Metric3D

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Language:PythonCC0-1.079200

TIE-KD

Language:PythonApache-2.0400

FreeKD

Official implementation of paper "FreeKD: Knowledge Distillation via Semantic Frequency Prompt", CVPR 2024.

Language:PythonApache-2.01800

vllm

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

Language:PythonApache-2.01969000

RT-DETR

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

Language:PythonApache-2.0133600

coco2VOC

Converts COCO annotations to PASCAL VOC XML

Language:Python2500

YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Language:PythonGPL-3.0355300

torchtune

A Native-PyTorch Library for LLM Fine-tuning

Language:PythonBSD-3-Clause321700

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Language:PythonApache-2.0322700

Upscale-A-Video

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

81700

SimKD

[CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".

Language:Python8700

grok-1

Grok open release

Language:PythonApache-2.04850800

Illumination-Adaptive-Transformer

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Language:PythonApache-2.043000