5921 Open source projects that are alternatives of or similar to Pytorch Exercise

Code To Accompany YouTube Series Imaginary Numbers Are Real

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Documenting my python implementation of Andrew Ng's Machine Learning course

Stanford

scikit-learn wrappers for Python fastText.

Explains nlp building blocks in a simple manner.

Building QA system for Stanford Question Answering Dataset

Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

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STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

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Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Structured Inference Networks for Nonlinear State Space Models

Some practices about deep learning

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Beaker Extensions for Jupyter Notebook

Traffic Graph Convolutional Recurrent Neural Network

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Applying Data Science and Machine Learning to Solve Real World Business Problems

A framework for blind denoising with self-supervision.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Movie plots by genre tutorial at PyData Berlin 2016

CARTO Python package for data scientists

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

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Some code examples gathered during my Month of Julia.

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

Simplified implementations of deep learning related works

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Contains files related to content and project of DSND

What scientific programmers must know about CPUs and RAM to write fast code.

code and model of Pyramid Feature Selective Network for Saliency detection

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Generating multiple choice questions from text using Machine Learning.

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Simple plotting library that wraps Matplotlib and integrated with DataFrames

A benchmark dataset for data-driven weather forecasting

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

知乎看山杯 第二名 解决方案

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

台大机器学习课程作业详解

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Streaming over lightweight data transformations

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

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fastai V2 implementation of Timeseries classification papers.