Top 5939 jupyter-notebook open source projects

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

Materials for PyCon 2017 presentation on optimizing Pandas code

Tutorial: Web scraping in Python with Beautiful Soup

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

How to do Unsupervised Clustering with Keras

A fast, extensible, transparent python library for backtesting quantitative strategies.

Tools, wrappers, etc... for data science with a concentration on text processing

code for reading and processing Allen Institute for Brain Science data

Apache Spark (PySpark) Practice on Real Data

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Ropsten public testnet PoW chain

Build a CNN network to predict 3D bounding box of car from 2D image.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

🎄 Virtual DOM for Python

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Getting start with PySpark and MLlib

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

Scripts/Notebooks used for my articles published on Medium

retrain gpt-2 in colab

An electronic simulation library written in pure Python

Convolutional neural network analysis for predicting DNA sequence activity.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

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Decentralized Machine Learning Client

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Multi-Graph Convolutional Neural Networks

RadIO is a library for data science research of computed tomography imaging

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Intro to deep learning for medical imaging lesson, by MD.ai

Go binding for TensorFlow Lite

Python for Finance Cookbook, published by Packt

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

A collection of tools to collect and download various data.

Python code for the fast bilateral solver

Auto-ReID and Other Person Re-Identification Projects

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Text detection model that combines Retinanet with textboxes++ for OCR

Codes related to various ML Hackathons

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

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

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

Repository for coursera specialization Applied Data Science with Python by University of Michigan

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

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

Auxiliary Classifier Generative Adversarial Networks in Keras

Python tutorials for introduction to machine learning

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

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

Example of "biological" learning for MNIST

Various Notebooks for Lernapparat.de

Deep learning codes and projects using Python