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

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

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

All about Neural Networks!

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Datasets, tools, and benchmarks for representation learning of code.

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

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Code for Tensorflow Machine Learning Cookbook

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

The Official Deep Learning Framework for Route-based Place Recognition

Natural Language Processing with TensorFlow, published by Packt

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

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

深度学习笔记

deeplearning.ai , By Andrew Ng, All video link

Notes and Assignments for Andrew Ng's Machine Learning - Python3 code

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

📓 Notes for Andrew Ng's courses on deep learning

Deeplearning.ai - Andrew Ng - Coursera

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

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Data augmentation for NLP, presented at EMNLP 2019

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

RMDL: Random Multimodel Deep Learning for Classification

CNN, LSTM, NBOW, fasttext 中文文本分类

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

PyTorch tutorial for learners

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

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Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

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

Deep learning codes and projects using Python

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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

코딩셰프의 3분 딥러닝, 케라스맛

This is Andrew NG Coursera Handwritten Notes.

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。

Stanford University - Machine Learning by Andrew Ng

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

CNN-RNN中文文本分类，基于TensorFlow

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Homework about Machine Learning of Coursera taught by andrew ng

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng