7246 Open source projects that are alternatives of or similar to Keras_basic

QA - Answer Selection (Rank candidate answers for a given question)

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

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

A neural network that transforms a design mock-up into a static website.

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

Implementation of Neural Image Captioning model using Keras with Theano backend

Predict Cryptocurrency Price with Deep Learning

Image Captioning using InceptionV3 and beam search

Some interesting TensorFlow tutorials for beginners.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Service Classification based on Service Description

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Natural Language Processing with TensorFlow, published by Packt

lidc nodule detection with CNN and LSTM network

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

The deeplearning algorithms implemented by tensorflow

PyTorch tutorial for learners

All about Neural Networks!

Neural Turing Machines (NTM) - PyTorch Implementation

This is the implementation of paper <Additive Margin Softmax for Face Verification>

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Music recommender using deep learning with Keras and TensorFlow

A Benchmark of Text Classification in PyTorch

PyTorch Tutorial (1.7)

food image to recipe with deep convolutional neural networks.

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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.

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A one-stop repository for low-code easily-installable object detection pipelines.

Code, exercises and tutorials of my personal blog ! 📝

深度学习笔记

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Implementation of papers for text classification task on DBpedia

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Stock Price Prediction using Machine Learning Techniques

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Hierarchical Attention Networks for Document Classification in PyTorch

Exercise notebooks for CVND.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Implementation of Quickdraw - an online game developed by Google

List of papers, code and experiments using deep learning for time series forecasting

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Generating Dance steps for given music with deep learning

Convert TensorFlow models to ONNX

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

Self-contained Machine Learning and Natural Language Processing library in Go

in progress

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Sentiment Analysis with LSTMs in Tensorflow

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

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