bouderbal-imene Goto Github PK
Name: Bouderbal Imene
Type: User
Name: Bouderbal Imene
Type: User
A little walk-trough different types of the block with their corresponding implementation in PyTorch
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Data compression in TensorFlow
Code for paper: Towards SSD accelerating for embedded environments: a Compressive Sensing Based Approach.
Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Semantic JPEG image compression using deep convolutional neural network (CNN)
This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy
Implemented the K-means algorithm with Octave and Python for image compression.
Implementation of: Real-Time Adaptive Image Compression by Oren Rippel and Lubomir Bourdev
Information Theory project : Implementation of JPEG Image Compression
Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.
A Keras implementation of MobileNetV3.
Multi-object trackers in Python
The devkit of the nuScenes dataset.
Most popular metrics used to evaluate object detection algorithms.
Embedded facial recognition system involving PYNQ board, Webcam, and HDMI output.
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
An easy way to train a Yolo object detector with your custom images dataset, using PyTorch
Collection of reproducible deep learning for compressive sensing
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
The Udacity open source self-driving car project
The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".
A walk through the code behind setting up YOLOv3 with darknet and training it and processing video on Google Colaboratory
YoloV3 Implemented in Tensorflow 2.0
This video tutorial series shows you how to infer and train your own custom YOLOv4 models, Step-by-step
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.