739 Open source projects that are alternatives of or similar to deep-learning-coursera-complete

Deep learning codes and projects using Python

📓 Notes for Andrew Ng's courses on deep learning

Deeplearning.ai - Andrew Ng - Coursera

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

2018“云移杯- 景区口碑评价分值预测

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Coursera clone

Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Applied Data Science with Python Specialization: Course 4 (University of Michigan)

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Repository for the Big Data Specialization from University of California San Diego on Coursera

Courses by University of Pennsylvania via Coursera

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

CPU and GPU implementations of some 2D RNN layers

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Here is All Weeks Assignment for Using Python to Access Web Data Course on Coursera

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

📚 Index for my study topics

Jupyter notebooks for Chainer hands-on

A repository to showcase my completed courses on the Coursera platform.

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Finetune ConvNets with Tensorflow

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

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).

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Online Hand Writing Recognition using BLSTM

Machine Learning (EE 5184) in NTU

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.

Vectorized Machine Learning in Python 🐍 From Scratch

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

My learning notes on Coursera deep learning Specialization.

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

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

Kervolution Library in PyTorch (CVPR 2019 Oral)

Neural networks library for machine learning on PHP

A siamese LSTM to detect sentence/question pairs.

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

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

quizzes/assignments for mathematics for machine learning specialization on coursera

Imageboard bot with recurrent neural network (RNN, GRU)

Multi-time-horizon solar forecasting using recurrent neural network

PyTorch implementation of Convolutional Recurrent Neural Network

Unofficial Stanford's CS229 Machine Learning Problem Solutions (summer edition 2019, 2020).

中国古诗生成（文本生成）

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

Running compostionality tests on InferSent embedding on SNLI

GUI app for downloading whole online courses with folder structure from one url

A fast implementation of Neural Image Caption by Chainer

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

MODS with external deep descriptors/detectors

Lightweight C++11 library for building deep recurrent neural networks

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.