307 Open source projects that are alternatives of or similar to deeplearning.ai_notes

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Stanford University - Machine Learning by Andrew Ng

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

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Haste: a fast, simple, and open RNN library

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Sentence Classifications with Neural Networks

Reasoning Over Knowledge Graph Paths for Recommendation

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Efficient, transparent deep learning in hundreds of lines of code.

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Hierarchical Attention Networks for Chinese Sentiment Classification

Hierarchical Attentive Recurrent Tracking

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Variational Auto-Encoders in a Sequential Setting.

Query-Reduction Networks (QRN)

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

TensorFlow implemenation of GRu4Rec model

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

A speech denoise lv2 plugin based on RNNoise library

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Nested LSTM Cell

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.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

A visualization tool for understanding and debugging RNNs

Deep learning driven jazz generation using Keras & Theano!

Chinese Poetry Generation

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

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

Recurrent neural network for audio noise reduction

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Deep learning codes and projects using Python

Hand-gesture recognition on iOS app using CoreML

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

基于RNN生成古诗

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.

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

Generate monophonic melodies with machine learning using a basic LSTM RNN

1st place solution

Natural Language Processing with TensorFlow, published by Packt

코딩셰프의 3분 딥러닝, 케라스맛

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

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