ashishtele

ashishtele's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python285k6.6k31647.6k

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python36.7k971656.5k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k7551.3k8k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.7k1.6k417.9k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k951243.7k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.3k5102388.6k

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.8k538173.9k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.3k796564.4k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k416243.3k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.3k303101.4k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python9k1491.6k1.3k

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.2k971.5k938

• aaronwangy/Data-Science-Cheatsheet

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

  Language:TeX5k1519721

• rapidsai/cuml

  cuML - RAPIDS Machine Learning Library

  Language:C++4.3k782.5k540

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4.2k907582

• Sakura-gh/ML-notes

  notes about machine learning

  Language:HTML3.3k798917

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.2k282523

• tirthajyoti/Machine-Learning-with-Python

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

  Language:Jupyter Notebook3.1k157101.8k

• tirthajyoti/Data-science-best-resources

  Carefully curated resource links for data science in one place

  3k12021k

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.8k37220334

• amzn/computer-vision-basics-in-microsoft-excel

  Computer Vision Basics in Microsoft Excel (using just formulas)

  2.4k643241

• uber/orbit

  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

  Language:Python1.9k35404135

• linkedin/greykite

  A flexible, intuitive and fast forecasting library

  Language:Python1.8k39106106

• UrbanInstitute/pyspark-tutorials

  Code snippets and tutorials for working with social science data in PySpark

  Language:Jupyter Notebook419313186

• firmai/pandasvault

  Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

  Language:Python41820074

• EagerAI/fastai

  R interface to fast.ai

  Language:HTML11865613

• vopani/fortyone

  Machine Learning begins with Human Learning

  1081103

• UrbanInstitute/sparkr-tutorials

  Code snippets and tutorials for working with SparkR.

  Language:R6421128

• Appsilon/fastai-in-r

  How to use Fast.ai from R - eRum 2020 presentation code

  Language:HTML202706

• Raniazy/awesome-mlops

  9300