6998 Open source projects that are alternatives of or similar to Coursera Deep Learning Specialization

Books, papers and links to latest research in ML/AI

Koç University deep learning framework.

Generating Captions for images using Deep Learning

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Keras implementation of a CNN network for age and gender estimation

Image Tampering Detection using ELA and CNN

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

R interface to the keras library

Fast and Easy Infinite Neural Networks in Python

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

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Detecting cinema shot types using a ResNet-50

Object classification with CIFAR-10 using transfer learning

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

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

State-of-the art Automated Machine Learning python library for Tabular Data

A general, modular, and programmable architecture search framework

Code examples for training AlexNet using Keras and Theano

a collection of my notes on deep learning

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

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

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)

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

Implementation of simple autoencoders networks with Keras

Homework about Machine Learning of Coursera taught by andrew ng

Text to Speech with PyTorch (English and Mongolian)

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

Machine Learning for High Energy Physics.

A list of NLP(Natural Language Processing) tutorials

Hiding Images within other images using Deep Learning

Reproduce CheXNet

CNN image classifier implemented in Keras Notebook 🖼️.

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Learning the Enigma with Recurrent Neural Networks

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

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"

Various CNN models for CIFAR10 with Chainer

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Time Series Forecasting Best Practices & Examples

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

How to build RNNs and LSTMs from scratch with NumPy.

Implementations of some popular Saliency Maps in Keras

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

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

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Important paper implementations for Question Answering using PyTorch

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