iKintosh's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
python/mypy
Optional static typing for Python
joke2k/faker
Faker is a Python package that generates fake data for you.
cool-RR/PySnooper
Never use print for debugging again
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
rougier/numpy-100
100 numpy exercises (with solutions)
pycaret/pycaret
An open-source, low-code machine learning library in Python
mjhea0/awesome-fastapi
A curated list of awesome things related to FastAPI
Atcold/pytorch-Deep-Learning
Deep Learning (with PyTorch)
connorferster/handcalcs
Python library for converting Python calculations into rendered latex.
Instagram/MonkeyType
A Python library that generates static type annotations by collecting runtime types
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
dry-python/returns
Make your functions return something meaningful, typed, and safe!
unionai-oss/pandera
A light-weight, flexible, and expressive statistical data testing library
cosmicpython/book
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
onelivesleft/PrettyErrors
Prettify Python exception output to make it legible.
mercari/ml-system-design-pattern
System design patterns for machine learning
chris-chris/ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
johannfaouzi/pyts
A Python package for time series classification
dephell/dephell
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
yandexdataschool/Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
Instagram/Fixit
Advanced Python linting framework with auto-fixes and hierarchical configuration that makes it easy to write custom in-repo lint rules.
ServiceNow/N-BEATS
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
alvassin/alembic-quickstart
Examples how to test Alembic migrations for Yandex Backend Development school & Moscow Python meetup №69
jotaf98/easy-receptive-fields-pytorch
Minimal API for receptive field calculation in PyTorch
fursovia/allenai-common
Params, FromParams, Registrable, Lazy classes from AllenNLP