AcceleratorThe Accelerator is a tool for fast and reproducible processing of large amounts of data.
Stars: ✭ 137 (-25.95%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+250.27%)
Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
Stars: ✭ 91 (-50.81%)
FeaturetoolsAn open source python library for automated feature engineering
Stars: ✭ 5,891 (+3084.32%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-16.22%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+605.41%)
Zero To Mastery MlAll course materials for the Zero to Mastery Machine Learning and Data Science course.
Stars: ✭ 631 (+241.08%)
Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (-27.03%)
Pyspark Example ProjectExample project implementing best practices for PySpark ETL jobs and applications.
Stars: ✭ 633 (+242.16%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (-51.35%)
Data Science CareerCareer Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Stars: ✭ 630 (+240.54%)
AirbyteAirbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.
Stars: ✭ 4,919 (+2558.92%)
Fastai2Temporary home for fastai v2 while it's being developed
Stars: ✭ 630 (+240.54%)
DataprooferA proofreader for your data
Stars: ✭ 628 (+239.46%)
PandasschemaA validation library for Pandas data frames using user-friendly schemas
Stars: ✭ 135 (-27.03%)
NfstreamNFStream: a Flexible Network Data Analysis Framework.
Stars: ✭ 622 (+236.22%)
EpflEPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
Stars: ✭ 90 (-51.35%)
EngsoccerdataEnglish and European soccer results 1871-2020
Stars: ✭ 615 (+232.43%)
RbbjsonFlexible JSON traversal for rapid prototyping.
Stars: ✭ 155 (-16.22%)
ElkiELKI Data Mining Toolkit
Stars: ✭ 613 (+231.35%)
Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-51.89%)
Sigma coding youtubeThis is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Stars: ✭ 611 (+230.27%)
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-27.03%)
MoviegeekA django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Stars: ✭ 608 (+228.65%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (+227.03%)
Hover🚤 Never spend O(n) to annotate data again. Fun and precision come free.
Stars: ✭ 183 (-1.08%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+2825.41%)
PdpipeEasy pipelines for pandas DataFrames.
Stars: ✭ 590 (+218.92%)
ArflowThe official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Stars: ✭ 134 (-27.57%)
Awesome Ai UsecasesA list of awesome and proven Artificial Intelligence use cases and applications
Stars: ✭ 587 (+217.3%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+586.49%)
Vehicle counting tensorflow🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
Stars: ✭ 582 (+214.59%)
BaikalA graph-based functional API for building complex scikit-learn pipelines.
Stars: ✭ 573 (+209.73%)
Kaggle CompetitionsThere 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.
Stars: ✭ 86 (-53.51%)
Datasets For Recommender SystemsThis is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Stars: ✭ 564 (+204.86%)
Blockchain2graphBlockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).
Stars: ✭ 134 (-27.57%)
AileAutomatic Item List Extraction
Stars: ✭ 85 (-54.05%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+202.16%)
NipypeWorkflows and interfaces for neuroimaging packages
Stars: ✭ 557 (+201.08%)
Knet.jlKoç University deep learning framework.
Stars: ✭ 1,260 (+581.08%)
Datasciencera curated list of R tutorials for Data Science, NLP and Machine Learning
Stars: ✭ 1,727 (+833.51%)
Pyspark Cheatsheet🐍 Quick reference guide to common patterns & functions in PySpark.
Stars: ✭ 108 (-41.62%)
Arcgis Python ApiDocumentation and samples for ArcGIS API for Python
Stars: ✭ 954 (+415.68%)
Wolfram CoronavirusWolfram Language code and notebooks related to the coronavirus outbreak
Stars: ✭ 30 (-83.78%)
Scikit Learnscikit-learn: machine learning in Python
Stars: ✭ 48,322 (+26020%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-84.32%)
RebateRelief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.
Stars: ✭ 29 (-84.32%)
SupersetApache Superset is a Data Visualization and Data Exploration Platform
Stars: ✭ 42,634 (+22945.41%)