7382 Open source projects that are alternatives of or similar to Easy Deep Learning With Keras

PyTorch tutorial for learners

Application of machine learning to the Coinbase (GDAX) orderbook

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Deep learning codes and projects using Python

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

The Official Deep Learning Framework for Route-based Place Recognition

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.

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

All about Neural Networks!

Visualisations for Convolutional Neural Networks in Pytorch

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

Breast Cancer Classification using CNN and transfer learning

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

All my experiments with AI and ML

Evaluation of the CNN design choices performance on ImageNet-2012.

Stock Price Prediction using Machine Learning Techniques

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Sentiment Analysis with LSTMs in Tensorflow

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

High-quality Neural Networks for Computer Vision 😎

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Anomaly detection for temporal data using LSTMs

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

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

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.

Hiding Images within other images using Deep Learning

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Chinese Poetry Generation

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。

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Object classification with CIFAR-10 using transfer learning

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

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

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

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Natural Language Processing with TensorFlow, published by Packt

Recurrent Additive Networks for Tensorflow

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

Deep Learning

Predict Cryptocurrency Price with Deep Learning

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

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)