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

Deep learning codes and projects using Python

TensorFlow and Deep Learning Tutorials

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

TensorFlow Tutorials

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

PyTorch tutorial for learners

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Visualisations for Convolutional Neural Networks in Pytorch

Deep Learning Specialization by Andrew Ng on Coursera.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Anomaly detection for temporal data using LSTMs

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Keras tutorial for beginners (using TF backend)

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

深度学习笔记

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

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Neural machine translator for English2German translation.

This is Andrew NG Coursera Handwritten Notes.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

An automatic ML model optimization tool.

deeplearning.ai , By Andrew Ng, All video link

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.

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

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

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

Various CNN models for CIFAR10 with Chainer

Reproduce CheXNet

CNN image classifier implemented in Keras Notebook 🖼️.

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

Hiding Images within other images using Deep Learning

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

Learning the Enigma with Recurrent Neural Networks

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

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.

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

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

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Time Series Forecasting Best Practices & Examples

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"

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.

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

Important paper implementations for Question Answering using PyTorch

How to build RNNs and LSTMs from scratch with NumPy.

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

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