Dipanshu089

Dipanshu089's Stars

• statsbomb/statsbombpy

  Easily stream StatsBomb data into Python

  Language:Python54975

• statsbomb/open-data

  Free football data from StatsBomb

  2.4k767

• krishnaik06/AI-Engineer-Roadmap-2024

  513181

• gonzalochale/nextui-saas-landing-template

  Starter template for SaaS applications landing page using Next.js 14, NextUI v2, and Tailwind CSS.

  Language:TypeScript512

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k2.7k

• eugeneyan/applied-ml

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

  27.2k3.7k

• apssouza22/cnn-for-devs

  A project to teach Convolution Neural Network for devs

  Language:Jupyter Notebook112

• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

  Language:JavaScript5k445

• NVlabs/Minitron

  A family of compressed models obtained via pruning and knowledge distillation

  24516

• pineapplehq/hiring-exercises

  Welcome Hiring Process & Exercises - heywelcome.com

  5119

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.3k140

• dair-ai/Mathematics-for-ML

  🧮 A collection of resources to learn mathematics for machine learning

  4.4k408

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python21k1.5k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  63.1k6.6k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  198k25.8k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k14.6k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.3k

• LeCoupa/awesome-cheatsheets

  👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

  Language:JavaScript39.7k6.1k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript292k38.6k

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k1.5k

• decodingml/llm-twin-course

  🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  Language:Python2.5k401

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown301k28.2k

• xai-org/grok-1

  Grok open release

  Language:Python49.4k8.3k

• genieincodebottle/generative-ai

  Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

  Language:Jupyter Notebook498113

• studymlwithme/ML-Resources

  Here you will see all the resources I use throughout my journey of understanding machine learning.

  Language:HTML453

• mldangelo/personal-site

  My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.

  Language:SCSS1.3k869

• tonikelope/megabasterd

  Yet another unofficial (and ugly) cross-platform MEGA downloader/uploader/streaming suite.

  Language:Java4.6k595

• ayushi7rawat/Ultimate-Python-Resource-Hub

  The Ultimate resource hub of Python: All at one place

  Language:Python745138

• meta-llama/codellama

  Inference code for CodeLlama models

  Language:Python15.9k1.8k

• ivalab/grasp_multiObject

  Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

  Language:MATLAB10321