vnpraveenb

vnpraveenb's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  313k8.4k51178.2k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript124k2.2k10915.2k

• DataTalksClub/data-engineering-zoomcamp

  Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.

  Language:Jupyter Notebook29.5k4861346.3k

• MichaelCade/90DaysOfDevOps

  This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.

  Language:Shell27.7k531896.4k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.5k604443k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.8k18943997

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.8k146661.1k

• graviraja/MLOps-Basics

  Language:Jupyter Notebook7k102211.2k

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k16014814

• rainyear/python3-in-one-pic

  Learn python3 in one picture.

  Language:Jupyter Notebook5k35623981

• pamoroso/free-python-books

  Python books free to read online or download

  4.9k17429680

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook4k541031.5k

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695521

• hastagAB/Awesome-Python-Scripts

  A Curated list of Awesome Python Scripts that Automate Stuffs.

  Language:Python2.2k3931744

• AstraZeneca/awesome-explainable-graph-reasoning

  A collection of research papers and software related to explainability in graph machine learning.

  2k546130

• The-AI-Summer/self-attention-cv

  Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

  Language:Python1.2k1915156

• The-AI-Summer/Deep-Learning-In-Production

  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

  Language:Jupyter Notebook1.1k325244

• zerodha/pykiteconnect

  The official Python client library for the Kite Connect trading APIs

  Language:Python1.1k12288490

• towardsai/tutorials

  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

  Language:Jupyter Notebook1k393364

• driscollis/pytips

  Python Tips contains code snippets that will help you learn Python

  Language:Python42536040

• abidlabs/deep-learning-genomics-primer

  Contains files for the deep learning in genomics primer.

  Language:Jupyter Notebook2677464

• driscollis/applications_with_wxpython

  Code examples for the book, Creating GUI Application with wxPython

  Language:Python123103126

• AstraZeneca/biology-for-ai

  learning biology syllabus, geared for machine learning folks

  1093014

• driscollis/python101code

  Code examples from the book, Python 101 by Michael Driscoll

  Language:Jupyter Notebook10512345

• 1edv/evolution

  This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

  Language:Jupyter Notebook9461126

• AstraZeneca/awesome-drug-pair-scoring

  Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

  9111014

• driscollis/python201bookcode

  The code examples for the book: Python 201: Intermediate Python

  Language:Python7912131

• driscollis/wxpythoncookbookcode

  Code for the wxPython Cookbook

  Language:Python537019

• AstraZeneca/MVDA_exploration_tools

  Multivariate data analysis (MVDA) exploration tool is a Python library utilizing the scikit-learn library for partial least squares (PLS) and principal components analysis (PCA).

  Language:Jupyter Notebook5101

• vnpraveenb/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook1100