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

A Tensorfflow implementation of Attend, Infer, Repeat

Mapping astronomical survey data on the sky, handsomely

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

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

My Attempt(s) In The World Of ML/DL....

Multiple Regression Package for PHP

Event-based music generation with RNN using PyTorch

Better heatmaps in Python

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

PPPL deep learning disruption prediction package

"Dicy2 for Max" is a Max package implementing interactive agents using machine-learning to generate musical sequences that can be integrated into musical situations ranging from the production of structured material within a compositional process to the design of autonomous agents for improvised interaction. Check also our plugin for Ableton live !

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

language model in Chinese，基于Pytorch官方文档实现

Long-term analysis of emotion, age, and sentiment using Lifeslice and text records.

TensorFlow Tutorial for Time Series Prediction

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

Real-time ADLs and Fall Detection implement TensorFlow

(UNMAINTAINED) Fetch data of any public Instagram profile, without using api

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

allow abaqus(v6.14-1) to use matplotlib in its build-in python scripts environment.

Deep Learning neural network for correcting spelling

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Boilerplate code for quickly getting set up to run language modeling experiments

Code for Learned Turbo-ype Affine Rank Minimization

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

This repository is a reproduction of the clockwork RNN paper.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Enhanced BiLSTM Inference Model for Natural Language Inference

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

An R package for large scale estimation with stochastic gradient descent

Deepfakes Video classification via CNN, LSTM, C3D and triplets

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.

Data augmentation for NLP, presented at EMNLP 2019

Visualization of gps tracking data

An implementation of RNN-RBM & GBRBM.

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Tensorflow implementation of attention mechanism for text classification tasks.

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

Procedurally generated blackout poetry

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Deep learning codes and projects using Python

Sequence to Sequence Models with PyTorch

Scientific Visualization Crash Course (Python & Matplotlib)

WTTE-RNN a framework for churn and time to event prediction

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

RNN based Forecasting App for Meta Trader and similar trading platforms

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

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

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Deep learning for freehand sketch object recognition

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

TensorFlow implemenation of GRu4Rec model

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

A cute multi-layer LSTM that can perform like a human 🎶

코딩셰프의 3분 딥러닝, 케라스맛