5921 Open source projects that are alternatives of or similar to Tutorials

bash script to install Artifical Images materials

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

The Numenta Anomaly Benchmark

An LSTM Autoencoder for rare event classification

Notebooks para comenzar desde cero en data science (en español)

Repository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.

Pythonic Objects

Distributed deep learning on Hadoop and Spark clusters.

Atom notebook

An PyTorch reimplementation of bottom-up-attention models

Gamified tutorial for the QISKit quantum SDK

An introduction to implementing a number of scikit-learn classifiers, along with some data exploration

Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

Dashboard template for Voilà based on GridStackJS

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Joint Vector Spaces

Automagically remove trends from time-series data

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science

Course Notes for Text Mining - Prof. Peter Organisciak

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

Course materials for: Introduction to Data Science and Programming

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

A collection of code examples as well as presentations for training purposes

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

100+ python programming exercise problem discussed ,explained and solved in different ways

A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML

Koç University deep learning framework.

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

A library of probabilistic model based RL algorithms in pytorch

Gemfield homework or libgemfield.so

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Deep Variational Reinforcement Learning

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

The art of using t-SNE for single-cell transcriptomics

Fast and Easy Infinite Neural Networks in Python

BERT + Image Captioning

Материалы мини-курса на Stepik "Нейронные сети и обработка текста"

Templates for jupyter notebooks

IJCAI-17 口碑商家客流量预测

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Python-based spatial data analysis and visualization of the GPS location data from my 2014 summer travels.

Tutorial teaching the basics of Keras and some deep learning concepts

Putting machine learning in the hands of cancer biologists

Datasets I have created for scientific summarization, and a trained BertSum model

Machine learning and artificial intelligence

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Python implementation of Deep Learning book

机器学习相关

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

Python Cellular Sheaf Library