5921 Open source projects that are alternatives of or similar to Python Examples

Codes related to various ML Hackathons

Deep learning infrastructure for bioinformatics

A fast and lightweight AutoML library.

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

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

北京邮电大学“网络搜索原理”课程资料(2019)

Some practices about deep learning

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Progressive training of GANs with Mutual Information Penalty

A PyTorch implementation of GraphRel

a sklearn wrapper for Google's BERT model

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

A clear, concise, simple yet powerful and efficient API for deep learning.

A practical feature engineering handbook

Open Source Landmarking Library

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

InferSent sentence embeddings

Some code examples gathered during my Month of Julia.

subpixel: A subpixel convnet for super resolution with Tensorflow

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Project which implements extraction of data from scatter plots

Various examples for Google Earth Engine in Python using Jupyter Notebook

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

Various Notebooks for Lernapparat.de

Previous version of eeg-notebooks

This is an LSTM stock prediction using Tensorflow with Keras on top.

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

SegNet model implemented using keras framework

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

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛：Mask R-CNN肺部结节智能检测（Segmentation + Classification）

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

Respository for Open-Science modular microscope system.

This is Andrew NG Coursera Handwritten Notes.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

An automatic beatmap generator using Tensorflow / Deep Learning.

Materials for a short course on convex optimization.

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

Exploration of methods for coloring t-SNE.

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Deep learning system course

Pytorch version of Realtime Multi-Person Pose Estimation project

Scripts/Notebooks used for my articles published on Medium

Solid data structure and algorithms