443 Open source projects that are alternatives of or similar to Sparsenet

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

Velocity in deep-learning research

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Keras implementation of Non-local Neural Networks

🎨 A CNN visualizer

Machine learning algorithms for many-body quantum systems

Breast Cancer Classification using CNN and transfer learning

This project is a tool to build CheXNet-like models, written in Keras.

Examples trained using the python pytorch package pro-gan-pth

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

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Medical image registration using deep learning

Machine Reading Comprehension in Tensorflow

A modern deep learning framework built to accelerate research and development of AI systems

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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

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.

CNN for Chinese Text Classification in Tensorflow

Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)

TensorFlow Tutorials

TensorFlow Implementation of state-of-the-art models since 2012

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

Xilinx Deep Learning IP

Topic-Aware Convolutional Neural Networks for Extreme Summarization

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

A generalized gradient-based CNN visualization technique

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

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Biologically-realistic recurrent convolutional neural networks

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Deep learning for price movement prediction using high frequency limit order data

CNN image style transfer 🎨.

Automated Driving in NFS using CNN.

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

CNN accelerator

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

Neural networks toolbox focused on medical image analysis

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

PyTorch implementation of LeNet-5 with live visualization

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

all kinds of text classification models and more with deep learning

Deep learning codes and projects using Python

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

keras project that parses and analyze english resumes

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Java Convolutional Neural Network example for Hand Writing Digit Recognition

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

convolutional lstm implementation in pytorch

Data augmentation using synthetic data for time series classification with deep residual networks

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Temporal Segments LSTM and Temporal-Inception for Activity Recognition