5921 Open source projects that are alternatives of or similar to Graphgym

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

Mathematical derivation and pure Python code implementation of machine learning algorithms.

PyTorch implementation of the CortexNet predictive model

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

Totally Versatile Miscellanea for Pytorch

Statistics and accepted paper list of NLP conferences with arXiv link

IPython Notebooks to learn Python

Machine learning notebooks in different subjects optimized to run in google collaboratory

《推荐系统实践》代码实现

categorical variational autoencoder using the Gumbel-Softmax estimator

Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

《Python深度学习》书籍代码

Content for Udacity's Machine Learning curriculum

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

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

SpotMicro AI - How to build a self-learning Robot

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

Python notes in Turkish.

TensorFlow 中文教程 (Chinese Tutorials)

collection of iPython notebooks

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

ProSPr: Protein Structure Prediction

A py.test plugin to validate Jupyter notebooks

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

Implementation of Meta-RL A3C algorithm

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Combining satellite imagery and machine learning to predict poverty

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

🚎 Notebook sharing hub

身份证识别OCR

AFINN sentiment analysis in Python

Reimplementation of DRAW

Deep Learning with PyTorch, published by Packt

用Python做些有趣的项目

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Describe past Kaggle solutions

Book about interpretable machine learning

Python Examples for Remote Sensing

Deep Learning Projects that Build Themselves

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Stanford CS231n assignment in 2019 spring

DeltaPy - Tabular Data Augmentation (by @firmai)

Action recognition using soft attention based deep recurrent neural networks

项目注释+论文复现+算法竞赛

Spit shine for Jupyter notebooks 🧽✨

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

Introduction to python use in geosciences.

line drawing colorization using chainer

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

My notes and superstitions about common machine learning algorithms