walpola-layantha-perera Goto Github PK

advanced-lane-detection

Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

ai-computer-vision-exploratory-data-analysis-

AI Computer Vision: Exploratory Data Analysis

ai-story-telling

bert

TensorFlow code and pre-trained models for BERT

cdqa

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

deep-learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningcv

Course code for my Deep Learning Computer Vision Course

delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

docs

TensorFlow documentation

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

hub

A library for transfer learning by reusing parts of TensorFlow models.

kaggle_qa_google_labeling

keras-class-activation-map

Class Activation Map using Keras

keras-image-classification

Grey-scale Image Classification using KERAS

landmark-recognition

Real-world Landmark Recognition with Triplet Network

landmark-retrival

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

landmarks-recognition

🏛 Landmarks classification models built with Keras

ml4a-guides

practical guides, tutorials, and code samples for ml4a

models

Models and examples built with TensorFlow

nlp-classification-with-bert

brrr, let's use BERT to do the multi-label text classification.

node-opencv

OpenCV Bindings for node.js

node-red-contrib-ffmpeg

📹 A simple ffmpeg wrapper for streaming video in Node-RED

practical-deep-learning-book

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

practical-object-instance-recognition

A VGG practical on object instance recognition.

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

snippets-android

Android snippets for firebase.google.com

tensorflow-lite-object-detection-on-android-and-raspberry-pi

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

the-final-project-glue