6439 Open source projects that are alternatives of or similar to Deep Learning Python

机器学习与深度学习算法示例

Exposure Matrix Factorization: modeling user exposure in recommendation

Video2GIF neural network model from our paper at CVPR2016

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

《Python Cookbook》 3rd Edition Translation

Material for the Montréal Deep Learning Summer School 2017

Codes for Learning Affinity via Spatial Propagation Networks

Create a knowledge base using domain specific documents and the mammoth python library

code repository for Udacity nanodegree Artificial Intelligence for Trading

公众号“无痛入门音乐科技”开源代码

Augmented environments with RL

机器学习相关教程

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Neural reparameterization improves structural optimization

Models and Pipelines for the Spark NLP library

Repository for benchmarking graph neural networks

Robust Object Classification of Occluded Objects in Forward Looking Infrared (FLIR) Cameras

GitHub Action for repo2docker

Embed strange attractors using a regularizer for autoencoders

nGraph has moved to OpenVINO

Code for the paper "Controlling Style and Semantics in Weakly-Supervised Image Generation", ECCV 2020

Faster-RCNN based on Densecap(deprecated)

http://zeroviscosity.com/category/d3-js-step-by-step

Implementation of Fast-SCNN using Tensorflow 2.0

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Putting machine learning in the hands of cancer biologists

Main Website for The Odin Project

Code & Data for Introduction to Machine Learning with Scikit-Learn

Official implementation of "Desinging an Encoder for StyleGAN Image Manipulation" https://arxiv.org/abs/2102.02766

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

Deep Texture Encoding Network

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

记录自己深度学习之路的点滴

Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop

Tensorflow Object Detector

import code from IJulia Jupyter notebooks into Julia programs

A simple visual tracking interface using Python

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

Material and note of the course of Applied ML in Python

Automagically remove trends from time-series data

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

A PyTorch implementation of "Siamese Neural Networks for One-shot Image Recognition".

Fashion recommender system using deep learning

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science

自然语言处理NLP在中文文本上的一些应用，如文本分类、情感分析、命名实体识别等

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