6744 Open source projects that are alternatives of or similar to Pytorch

Anomaly detection tutorial on univariate time series with an auto-encoder

Deep learning system course

A python tutorial on bayesian modeling techniques (PyMC3)

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Tutorials for deep learning

Tutorial Sessions for SciPy Con 2019

Tutorials for the Astropy Project

top 1% solution to toxic comment classification challenge on Kaggle.

[tutorial]A functional, Data Science focused introduction to Python

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

A collection of Jupyter notebooks showing how to use the Qiskit SDK

pytorch 包教不包会

Jupyter notebook and datasets from the pandas Q&A video series

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

This repository provides everything you need to get started with Python for (social science) research.

🟣 Object detection of abstract shapes with neural networks

Tutorial: Web scraping in Python with Beautiful Soup

Scenarios, tutorials and demos for Autonomous Driving

Deep Learning / NLP tutorial for Chatbot Developers

Tutorial covering Open Source tools for Source Separation.

Tutorial for using Kitti dataset easily

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Tutorial on GANs

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Jupyter notebooks from the scikit-learn video series

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

This is a jupyter practical tutorial. Welcome to edit together!

📚 机器学习基石和机器学习技法作业

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

MicaSense RedEdge and Altum image processing tutorials

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

INTERSPEECH 2019 Tutorial Materials

image processing codes to understand algorithm

Combining Psi4 and Numpy for education and development.

Important paper implementations for Question Answering using PyTorch

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Quick, visual, principled introduction to pytorch code through five colab notebooks.

A tutorial on Julia DataFrames package

Deep Learning Zero to All - Tensorflow

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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

Introduction to Deep Neural Networks with Keras and Tensorflow

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Tensorflow tutorial for various Deep Neural Network visualization techniques

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Course materials and handouts for #100DaysOfCode in Python course

SuperComputing 2017 Deep Learning Tutorial

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

100-Days-Of-ML-Code中文版

Tutorial on geospatial data manipulation with Python