7177 Open source projects that are alternatives of or similar to Mckinsey Smartcities Traffic Prediction

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Tutorial Sessions for SciPy Con 2019

Datasets, tools, and benchmarks for representation learning of code.

DeltaPy - Tabular Data Augmentation (by @firmai)

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

Automatic extraction of relevant features from time series:

Applying Data Science and Machine Learning to Solve Real World Business Problems

Support content for my blog

Koç University deep learning framework.

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.

Probabilistic reasoning and statistical analysis in TensorFlow

A simple probabilistic programming language.

Anomaly detection for temporal data using LSTMs

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

An open-source, low-code machine learning library in Python

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Collection of useful data science topics along with code and articles

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

The Hitchhiker's Guide to Data Science for Social Good

Quiz & Assignment of Coursera

List of papers, code and experiments using deep learning for time series forecasting

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

The "Python Machine Learning (2nd edition)" book code repository and info resource

Feature exploration for supervised learning

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Daily Dose of Neural Network that Everyone Needs

Modern Data Science

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pyclustring is a Python, C++ data mining library.

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

The blog post about Kubeflow, including all materials

PyMC3 educational resources

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Create HTML profiling reports from pandas DataFrame objects

Association Rule Mining from Spatial Data for Crime Analysis

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

ML.NET Workshop to predict car sales prices

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

brief introduction to Python for machine learning