vanerpool

vanerpool's Stars

• danlark1/hse_missing_cs_education

  Это репозиторий для проведения курса по The Missing Semester of Your CS Education в университете Высшая Школа Экономики

  Language:Shell39494

• pmixer/SASRec.pytorch

  PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

  Language:Python33190

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python3k698

• dmontagu/fastapi-utils

  Reusable utilities for FastAPI

  Language:Python1.9k165

• sabuhish/fastapi-mail

  Fastapi mail system sending mails(individual, bulk) attachments(individual, bulk)

  Language:Python68082

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.6k11.3k

• fastapi/full-stack-fastapi-template

  Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

  Language:TypeScript26.1k4.6k

• grahamjenson/list_of_recommender_systems

  A List of Recommender Systems and Resources

  4.5k688

• nbQA-dev/nbQA

  Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks

  Language:Python1k39

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python31.1k2.3k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9k1.5k

• encode/databases

  Async database support for Python. 🗄

  Language:Python3.8k260

• encode/orm

  An async ORM. 🗃

  Language:Python1.8k98

• aaronwangy/Data-Science-Cheatsheet

  A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

  Language:TeX4.9k702

• slgero/testovoe

  Home assignments for data science positions

  Language:Jupyter Notebook62099

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k1.9k

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k430

• williamleif/graphsage-simple

  Simple reference implementation of GraphSAGE.

  Language:Python988239

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k842

• Awethon/open-api-python-client

  Клиент для Тинькофф Инвестиций

  Language:Python9014

• gpakosz/.tmux

  🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

  Language:Shell21.8k3.4k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.3k3.7k

• KirstieJane/STEMMRoleModels

  Inspire future generations by providing the most exciting and diverse speakers for your conference.

  Language:HTML280150

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.6k2.8k

• uber/petastorm

  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

  Language:Python1.8k285

• chrisk314/django-celery-docker-example

  Example Docker setup for a Django app behind an Nginx proxy with Celery workers

  Language:Python24368

• tomohideshibata/BERT-related-papers

  BERT-related papers

  2k282

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.2k871

• rougier/matplotlib-cheatsheet

  Matplotlib 3.1 cheat sheet.

  Language:Python2.9k402

• ypeleg/HungaBunga

  HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

  Language:Python71079