6244 Open source projects that are alternatives of or similar to Deep Learning Random Explore

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)

Cryptocurrency Price Prediction Using LSTM neural network

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

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

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

Some interesting TensorFlow tutorials for beginners.

All about Neural Networks!

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

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

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

LSTM and GRU in PyTorch

Chinese Poetry Generation

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Anomaly detection for temporal data using LSTMs

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

🍇 Edit and execute code snippets in the browser using Jupyter kernels

First project for CVND: facial keypoint detection.

Training Diary

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Try to reproduce FaceShifter

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

A Simple pytorch implementation of GradCAM and GradCAM++

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

深度學習課程(第四梯)所設計的課程實作

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

PyData Cookbook Project

Contains Jupyter Notebooks of stuff I am working on.

Pytho科学计算生态介绍的中文翻译，英文原文地址：

『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

Echo State Networks in Python

An interactive heatmap visualization built using D3.js

General Assembly's Data Science course in Washington, DC

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Toy car that drives itself using neural networks

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

A curated list of awesome Jupyter projects, libraries and resources

A complete catalog of all the players in Fifa 18 and their complete statistics.

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

A stable algorithm for GAN training

Advanced Machine Learning Specialization on Coursera

Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )

Jupyter Notebooks with Deep Learning Tutorials

Tutorials for creating and using ONNX models

Text recognition (optical character recognition) with deep learning methods.

Deep learning for MIR

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

Solving NLP problems with Vowpal Wabbit: Tutorial and more

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Protein Graph Library

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Official Python SDK for Hyperdash

Solid data structure and algorithms