6290 Open source projects that are alternatives of or similar to Asrgen

My IJulia notebooks

ML.NET Workshop to predict car sales prices

A collection of Machine Learning Google_Colab_Notebooks

A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.

MET CS 777 Big Data Analytics

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

Stock price trend analysis using Fourier transform

Tips and tricks for plotting in python

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

Synthetic Medical Images from Dual Generative Adversarial Networks

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

An experiment in creating a dump of your personal browser history for analysis

Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0

Materials for Applied Machine Learning Taught in Python

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Stress-based Graph Drawing by Stochastic Gradient Descent

Tutorials of TensorFlow eager execution

Library to plot integer sets and maps

A temporal music synthesizer

QA - Answer Selection (Rank candidate answers for a given question)

Repo for articles in my personal blog and Medium

brief introduction to Python for machine learning

Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017

Fork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.

Slides, Assignments, Solutions

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Alpine Container for Machine Learning

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

HTS-style full-context labels for JSUT v1.1

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

Slides and Jupyter notebooks

Follow the impact of COVID-19 outbreak in Latin America in real time

Take further steps in the arms race of adversarial examples with only preprocessing.

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Repository for the PyData DC 2016 tutorial

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Alfabattle 2.0 1st task Top-6 solution: 8-folds lgbm blend

Курс программирования на языке Python

Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history

Solution to Kaggle - Web Traffic Time Series Forecasting

tensorflow implementation

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

Materials for a course on scikit-learn at ENSAE

A julia package for Gradient Descent and Stochastic Gradient Descent

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

In-class exercises for Deep Learning course at NYC Data Science Academy

TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling

Using NLTK to run an analysis on the Harry Potter corpus - different versions of this talk were given at Codeland in NYC and DjangoCon US in San Diego in 2018.

🚀 🎉 ✨ Oxford Deep NLP 2017 Course Materials and Practicals, Solutions

Painless conjugate gradient notebooks