6331 Open source projects that are alternatives of or similar to Keras_model_compression

tensorflow implementation of Grad-CAM (CNN visualization)

food image to recipe with deep convolutional neural networks.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Build a CNN network to predict 3D bounding box of car from 2D image.

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Build an OCR for iOS apps

Repo for Tang et al, bioRxiv 454793 (2018)

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Deep learning codes and projects using Python

TensorFlow Tutorials

CNN image style transfer 🎨.

Repository for most of the code from my YouTube channel

Keras- Multi Label Image Classification

Convolutional Neural Network for Human Activity Recognition in Tensorflow

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Evaluation of the CNN design choices performance on ImageNet-2012.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This toolbox is support material for the book on CNN (http://www.convolution.network).

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

A journey into Convolutional Neural Network visualization

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Convolutional neural networks for artistic style transfer.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Vehicle detection using YOLO in Keras runs at 21FPS

Keras tutorial for beginners (using TF backend)

[CVPR2020] GhostNet: More Features from Cheap Operations

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Skin cancer classification using Inceptionv3

Music recommender using deep learning with Keras and TensorFlow

Exploratory Project on Fast Screen Space Global Illumination

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Best Practices, code samples, and documentation for Computer Vision.

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

A machine learning experiment

Efficient Learning of Augmentation Policy Schedules

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Binary Convolution Network for faster real-time processing in ASICs

Visualisations for Convolutional Neural Networks in Pytorch