6806 Open source projects that are alternatives of or similar to Polyaxon Examples

IPython widgets, interactive plots, interactive machine learning

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Machine Learning for High Energy Physics.

The "Python Machine Learning (3rd edition)" book code repository

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

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

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Deep Reinforcement Learning for de-novo Drug Design

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

For extensive instructor led learning

Kaggle Struggle

Text Classification through CNN, RNN & HAN using Keras

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

A library for debugging/inspecting machine learning classifiers and explaining their predictions

notebooks with example for machine learning examples

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Stanford Machine Learning course exercises implemented with scikit-learn

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Framework of vectorized and distributed data analytics

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

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

Machine learning with scikit-learn tutorial at PyData Chicago 2016

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Python package for Bayesian Machine Learning with scikit-learn API

Multiple implementations for abstractive text summurization , using google colab

This is the implementation of paper <Additive Margin Softmax for Face Verification>

PyTorch Tutorial (1.7)

Real-time portrait segmentation for mobile devices

Machine Learning University: Accelerated Computer Vision Class

深度学习笔记

Machine Learning University: Accelerated Tabular Data Class

My blogs and code for machine learning. http://cnblogs.com/pinard

Basic tutorial for ESMPy Python package

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Deep Learning Projects that Build Themselves

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

Predicting forex binary options using time series data and machine learning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

The implementation of Relativistic average GAN with Keras

A collection of notebooks of my Machine Learning class written in python 3

Computer vision sabbatical study materials

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

A Comprehensive Tutorial on Video Modeling

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Insightface face detection and recognition model that just works out of the box.

Action recognition using soft attention based deep recurrent neural networks

Service Classification based on Service Description

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家