user-vi

user-vi's Stars

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.9k2.5k

• neychev/made_nlp_course

  Language:Jupyter Notebook5956

• btseytlin/job-guide

  Language:HTML397

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.3k1.7k

• google/lightweight_mmm

  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

  Language:Python864177

• Pakillo/getting-job-data-science

  Collection of advice and resources for getting a job as data scientist

  7322

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.8k2k

• matyushkin/ds

  👨‍🔬 In Russian: Обновляемая структурированная подборка бесплатных ресурсов по тематикам Data Science: курсы, книги, открытые данные, блоги и готовые решения.

  Language:Jupyter Notebook18317

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11k2.1k

• smazzanti/mrmr

  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

  Language:Python51879

• zillow/luminaire

  Luminaire is a python package that provides ML driven solutions for monitoring time series data.

  Language:Python76258

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.5k1.5k

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.1k244

• Mikhail-M/ml_project_example

  small example to demonstrate project structure

  Language:Python86

• garydoranjr/rdc

  The Randomized Dependence Coefficient in Python

  Language:Python175

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  24.8k5.9k

• lysukhin/vk-academy-dl-cv

  "Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK Data Academy.

  Language:Jupyter Notebook7658

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.7k5.7k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k3k

• neoluc/Spark-SQL-Inverted-Index-Search-Engine

  implement search engine with inverted index using spark sql

  Language:Python58

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell87.2k5.7k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.7k2.6k

• philipperemy/name-dataset

  The Python library for names.

  Language:Python824153

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29k2.5k

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook2.9k1.1k

• netspractice/advanced_gnn

  Language:Jupyter Notebook811

• tirthajyoti/Machine-Learning-with-Python

  Practice and tutorial-style notebooks covering wide variety of machine learning techniques

  Language:Jupyter Notebook3.1k1.8k

• ArgentumWalker/MADE-Practical-RL-homework-2021

  Language:Python111

• PAIR-code/facets

  Visualizations for machine learning datasets

  Language:Jupyter Notebook7.3k887

• girafe-ai/ml-course

  Open Machine Learning course

  Language:Jupyter Notebook2.2k1.1k