1163 Open source projects that are alternatives of or similar to Homlr

A curated list of pretrained sentence and word embedding models

Graphing communities on Twitch.tv in a visually intuitive way

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

A curated list of awesome machine learning interpretability resources.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

🐍 Learn Python and Pandas from the ground up

Collection of stats, modeling, and data science tools in Python and R.

Dash Demo App - New York Oil and Gas

Machine learning metrics for distributed, scalable PyTorch applications.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

Flexible JSON traversal for rapid prototyping.

🚤 Never spend O(n) to annotate data again. Fun and precision come free.

Open solution to the Toxic Comment Classification Challenge

Deep learning using tensorflow

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Federated Messaging with ZeroMQ

Latent space autoregression for novelty detection.

Machine learning glossary

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

A fast xgboost feature selection algorithm

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Python, Machine Learning, Deep Learning and Data Science Books

A New, Interactive Approach to Learning Python

数据科学竞赛知识、代码、思路

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

A cleaner way to build neural networks for PyTorch.

A Portfolio of my Data Science Projects

This repo contains logstash of various honeypots

Home assignments for data science positions

🌎 machine learning tutorials (mainly in Python3)

Web scrapping and related analytics using Python tools

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

📚 Notebook storage and publishing workflows for the masses

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

Python Top 45 Articles of 2017

🐳📊📚 Docker Images tracking the stable Galaxy releases.

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Slide show presentations regarding data driven investing.

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

EvalML is an AutoML library written in python.

Library to scrape and clean web pages to create massive datasets.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Julia port of the Python autograd package.

List of datasets to apply stats/machine learning/technology to the world of social good.

🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos

Pandas and Spark DataFrame comparison for humans

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Python-based implementations of algorithms for learning on imbalanced data.

Self-study plan to achieve mastery in data science

An open-source tool to rapidly develop data applications with Python

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means