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

Scripts/notebooks for The Nature Conservancy's fish classification competition

google it automation with python professional certificate

Invert a pre-trained GAN model (includes code for training a GAN on celebA)

https://plot.ly/dash/gallery/live-wind-data/

Disease Prediction based on Symptoms.

A collection of IJulia notebooks related to optimization

Gluon to PyTorch deep neural network model converter

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Measurement and processing of binaural impulse responses for personalized surround virtualization on headphones.

Data visualization course material

https://github.com/ageron/handson-ml2

机器学习与深度学习算法示例

Exposure Matrix Factorization: modeling user exposure in recommendation

NYU Math-GA 2048: Scientific Computing in Finance

A containerised platform for Geographic Data Science

Video2GIF neural network model from our paper at CVPR2016

A recommendation system using tensorflow

PyCon 2017 tutorial on time series analysis

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

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017

《Python Cookbook》 3rd Edition Translation

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Material for the Montréal Deep Learning Summer School 2017

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

Pytorch code for BMVC 2018 paper

Codes for Learning Affinity via Spatial Propagation Networks

Source Code for 'Machine Learning with PySpark' by Pramod Singh

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

Python Tutorials

code repository for Udacity nanodegree Artificial Intelligence for Trading

Presentations for JuliaCon

公众号“无痛入门音乐科技”开源代码

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

Augmented environments with RL

机器学习相关教程

This Repository contains all tensorflow tutorials.

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).

ETL with Python - Taught at DWH course 2017 (TAU)

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

使用mxnet编写的kaggle CIFAR10比赛的代码

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

Learning Heuristics for the TSP by Policy Gradient

Neural reparameterization improves structural optimization

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Models and Pipelines for the Spark NLP library

Notebooks covering introductory material to ML, ML with sklearn and tips.

Old source for jakevdp.github.io. New source at http://github.com/jakevdp/jakevdp.github.io-source

A comparison of ffmpeg, Shotdetect and PySceneDetect for shot transition detection

Notebooks about Bayesian methods for machine learning

Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"

Python-based spatial data analysis and visualization of the GPS location data from my 2014 summer travels.

Geophysical Tutorials for 2016