737 Open source projects that are alternatives of or similar to Deep-Learning-Coursera

My workshop on machine learning using python language to implement different algorithms

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

Final Project of the Udacity AI Programming with Python Nanodegree

Back Propagation, Python

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

cRNN-GAN to generate music by training on instrumental music (midi)

📓 Notes for Andrew Ng's courses on deep learning

Char-level RNN LSTM text generator📄.

PyTorch tutorial for learners

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Generate monophonic melodies with machine learning using a basic LSTM RNN

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Stock Price Prediction using Machine Learning Techniques

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

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Pre-trained VGG-Net Model for image classification using tensorflow

Genre Classification using Convolutional Neural Networks

Six snippets of code that made deep learning what it is today.

CNN, LSTM, NBOW, fasttext 中文文本分类

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

All the code files related to the deep learning course from PadhAI

中国古诗生成（文本生成）

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.

⛈ ☀️ Visual Weather api. Returns beautiful pictures with the current weather.

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Melody of Life is a step sequencer using cellular automata

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Python/xarray tutorial for GEOS-Chem users

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

A Library for visualizing Neural Networks of the TensorFlow/Keras models.

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Track Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.

Code for Learned Turbo-ype Affine Rank Minimization

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

Procedurally generated blackout poetry

📈 Minimalistic Matplotlib style

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

An LSTM example using tensorflow to predict the next word in a text

bitcoin prediction algorithms

Code for the poem.exe bot on Twitter and Mastodon.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

🤖 카카오톡 코로나 알리미

Streamlines animation (matplotlib)

Awesome deep learning crate

Collection of Databricks and Jupyter Notebooks

Stanford University - Machine Learning by Andrew Ng

Recursive voronoi diagram

A practical example on how to combine both a CNN and a RNN to classify images.

A lightweight package for generating visually distinct colours.

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

show matplotlib plots directly in your kitty terminal

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.