8725 Open source projects that are alternatives of or similar to Deep Learning With Python

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

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

Convolutional Neural Network for Human Activity Recognition in Tensorflow

A photo OCR project aims to output DMS messages contained in sign structure images.

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

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.

由淺入深的深度學習資源 Collection of deep learning materials for everyone

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Music recommender using deep learning with Keras and TensorFlow

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Daily Dose of Neural Network that Everyone Needs

A deep learning based gaze estimation framework implemented with PyTorch

Machine Reading Comprehension in Tensorflow

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Implementation of Quickdraw - an online game developed by Google

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

My personal notes, presentations, and notebooks on everything Deep Learning.

猫狗大战

Implementation of Neural Image Captioning model using Keras with Theano backend

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

All about Neural Networks!

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

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A specially designed light version of Fast AutoAugment

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

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

videos, lectures, blogs for Deep Learning

Official Implementation of 'Fast AutoAugment' in PyTorch.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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Image Tampering Detection using ELA and CNN

🟣 Object detection of abstract shapes with neural networks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Anomaly detection for temporal data using LSTMs

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All my experiments with AI and ML

Detecting cinema shot types using a ResNet-50

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

코딩셰프의 3분 딥러닝, 케라스맛

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Code for "A-NICE-MC: Adversarial Training for MCMC"

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Video Platform for Action Recognition and Object Detection in Pytorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.