H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+605.41%)
Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (-27.03%)
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%)
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%)
PandasschemaA validation library for Pandas data frames using user-friendly schemas
Stars: ✭ 135 (-27.03%)
EpflEPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
Stars: ✭ 90 (-51.35%)
RbbjsonFlexible JSON traversal for rapid prototyping.
Stars: ✭ 155 (-16.22%)
Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-51.89%)
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-27.03%)
Hover🚤 Never spend O(n) to annotate data again. Fun and precision come free.
Stars: ✭ 183 (-1.08%)
ArflowThe official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Stars: ✭ 134 (-27.57%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+586.49%)
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%)
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%)
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%)
R Text DataList of textual data sources to be used for text mining in R
Stars: ✭ 85 (-54.05%)
Data Science Stack Cookiecutter🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
Stars: ✭ 153 (-17.3%)
MazeMaze Applied Reinforcement Learning Framework
Stars: ✭ 85 (-54.05%)
AndOfficial Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
Stars: ✭ 133 (-28.11%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+578.38%)
FactorvaePytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Stars: ✭ 176 (-4.86%)
GrounderImplementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow
Stars: ✭ 83 (-55.14%)
PecanThe Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Stars: ✭ 132 (-28.65%)
FlyteAccelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.
Stars: ✭ 1,242 (+571.35%)
OpenselfsupSelf-Supervised Learning Toolbox and Benchmark
Stars: ✭ 1,239 (+569.73%)
Rpy2Interface to use R from Python
Stars: ✭ 132 (-28.65%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-56.22%)
FedmsgFederated Messaging with ZeroMQ
Stars: ✭ 165 (-10.81%)
Gopup数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
Stars: ✭ 1,229 (+564.32%)
DatascicompA collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
Stars: ✭ 1,636 (+784.32%)
MugLearning Video Object Segmentation from Unlabeled Videos (CVPR2020)
Stars: ✭ 81 (-56.22%)
Novelty DetectionLatent space autoregression for novelty detection.
Stars: ✭ 152 (-17.84%)
PydeptaA python implementation of DEPTA
Stars: ✭ 79 (-57.3%)
Stats337Readings in applied data science
Stars: ✭ 1,625 (+778.38%)
Ml GlossaryMachine learning glossary
Stars: ✭ 2,338 (+1163.78%)
Responsible Ai WidgetsThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 107 (-42.16%)
Bodywork CoreDeploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀
Stars: ✭ 145 (-21.62%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-41.08%)
Tsv UtilseBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Stars: ✭ 1,215 (+556.76%)
Reptile PytorchA PyTorch implementation of OpenAI's REPTILE algorithm
Stars: ✭ 129 (-30.27%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-57.84%)
MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
Stars: ✭ 151 (-18.38%)
Griffon VmGriffon Data Science Virtual Machine
Stars: ✭ 128 (-30.81%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+550.81%)
BoostarootaA fast xgboost feature selection algorithm
Stars: ✭ 165 (-10.81%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-41.08%)
Efficient AprioriAn efficient Python implementation of the Apriori algorithm.
Stars: ✭ 145 (-21.62%)
AnndataAnnotated data.
Stars: ✭ 171 (-7.57%)
GhactionsGitHub actions for R and accompanying R package
Stars: ✭ 159 (-14.05%)