phlong3105 Goto Github PK

automl

Google Brain AutoML

circle-fitting-hyper-fit

(C++) An developed Vision-based Circle Fitting Algorithm, called "Hyper Fit" - fits accurate circles to both complete and largely incomplete circular arcs/objects, in livestream 2D- images

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

deepaco

deepacov2

depth_anything_v2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

etss-01-edge-tss

Developing a state-of-the-art traffic surveillance system on edge devices for real-time information extraction under various weather conditions

etss-02-vehicledettrack

A Region-and-Trajectory Traffic Flow Estimation

etss-03-lanedet

Lane Detection for CCTV-cameras using CLRNet: Cross Layer Refinement Network

etss-07-imageenhance

etss-08-data

Traffic Surveillance Data Generation capable of producing various environment record on road.

leyolo

ml_engineering

Machine Learning Engineering Open Book

mon

One Research Framework To Rule Them All

moxi

openvino.genai

Run Generative AI models using native OpenVINO C++ API

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

phlong3105.github.io

Long Pham's Website

supergradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

top_cvpr_2024_papers

This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

vcc

Visual Concept Connectome

xanylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

yolo_world

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

yolov10

YOLOv10: Real-Time End-to-End Object Detection

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information