persiyanov
Pragmatic ML and Data specialist. Ex ranking infra at Constructor.io. Ex dialogue systems & research at Yandex. MIPT / YSDA alumni.
@extruct-aiBarcelona
persiyanov's Stars
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
mercari/ml-system-design-pattern
System design patterns for machine learning
davidtvs/pytorch-lr-finder
A learning rate range test implementation in PyTorch
eatsleepraverepeat/reMUDE
(re)Implementation of Learning Multi-level Dependencies for Robust Word Recognition
great-expectations/great_expectations
Always know what to expect from your data.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
nitrain/nitrain
Train AI models efficiently on medical images using any framework
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
spotify/chartify
Python library that makes it easy for data scientists to create charts.
jamalsenouci/causalimpact
Python port of CausalImpact R library
pypa/flit
Simplified packaging of Python modules
python-poetry/poetry
Python packaging and dependency management made easy
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
UniversalDataTool/universal-data-tool
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
dask/dask
Parallel computing with task scheduling
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
optuna/optuna
A hyperparameter optimization framework
kaz-Anova/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
h2oai/pystacknet
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
nteract/papermill
📚 Parameterize, execute, and analyze notebooks
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
amundsen-io/amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Netflix/metaflow
Build, Manage and Deploy AI/ML Systems
wwrechard/pydlm
A python library for Bayesian time series modeling
feast-dev/feast
The Open Source Feature Store for AI/ML