Walpola Layantha Perera's repositories
Tourist-Accommodation-Prediction-Neural-Network
Tourist Accommodation Prediction Neural Network
VoxelNeXt
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
AI-Computer-Vision-Exploratory-Data-Analysis-
AI Computer Vision: Exploratory Data Analysis
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!
bert
TensorFlow code and pre-trained models for BERT
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!
Time-Traveller
Artificial intelligence supported mobile app by using big data to travel through the history of architectural icons is the aim of this project.
node-red-contrib-ffmpeg
📹 A simple ffmpeg wrapper for streaming video in Node-RED
snippets-android
Android snippets for firebase.google.com
node-opencv
OpenCV Bindings for node.js
cdQA
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
hub
A library for transfer learning by reusing parts of TensorFlow models.
models
Models and examples built with TensorFlow
Practical-Deep-Learning-Book
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Landmark-Retrival
Easy Landmark Image Recognition with TensorFlow Hub DELF Module
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
VoxelNet-PyTorch
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
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
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
nlp-classification-with-BERT
brrr, let's use BERT to do the multi-label text classification.
ml4a-guides
practical guides, tutorials, and code samples for ml4a
transformer-finetuning
Fine-tune transformers on practical tasks
DeLF-pytorch
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
docs
TensorFlow documentation
keras-image-classification
Grey-scale Image Classification using KERAS
Landmark-Recognition
Real-world Landmark Recognition with Triplet Network