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ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

chainer_cpu_gpu_timehooked

This project is a homework of Parallel Computing and Deep Learning System course.

computer-vision-and-image-processing

Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄

cpp-sample-examples

C++ examples

cpp_mfc_calculator

This is a simple exercise for approaching Cpp and MFC

cpp_mfc_convertimagetogray

This small project convert choosed images to Gray using Cpp-MFC and OpenCV

cs_ebooks

cvpr2021_cvpapers

Phong-Phu Le - National Cheng-Kung University

face-detection-using-opencv-in-visual-studiio-2010

This is solution contain source code for face detection as well as eye detection in opencv.

freeanchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

imgaug

Image augmentation for machine learning experiments.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras_mnist

Keras MNIST dataset test own testset

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

leetcode-diary

machine-learning-university-of-washington-clustering-retrieval

marlin-for-3d-printing-machines-hbot-h-bot

marlin-for-3d-printing-machines-makerbot-and-prusa-i3-

MakerBot and Prusa I3

pdf-it-books

personal-paper-notes

Phong-Phu Le - National Cheng-Kung University

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

python

All Algorithms implemented in Python

scaledyolov4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

solving-image-processing-problems-with-python-part1

Solving Image Processing Problems with Python

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tm4c123-launchpad-examples