danielpenchev98

danielpenchev98's Stars

• donnemartin/system-design-primer

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

  Language:Python275k6.6k30246.2k

• mingrammer/diagrams

  :art: Diagram as Code for prototyping cloud system architectures

  Language:Python39.1k4095072.5k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.2k7521.3k7.9k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.1k286422.3k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.1k939274.1k

• DvorakDwarf/Infinite-Storage-Glitch

  ISG lets you use YouTube as cloud storage for ANY files, not just video

  Language:Rust11.4k10960909

• AkashSingh3031/The-Complete-FAANG-Preparation

  Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

  Language:Jupyter Notebook10.8k170412.4k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k18943992

• bregman-arie/devops-resources

  DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

  Language:Groovy8.6k263152.2k

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k388311.7k

• testcontainers/testcontainers-java

  Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.

  Language:Java8k1372.2k1.7k

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.4k13453888

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.3k1538571

• faridrashidi/kaggle-solutions

  🏅 Collection of Kaggle Solutions and Ideas 🏅

  Language:HTML5k8781.8k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12930489

• dair-ai/Mathematics-for-ML

  🧮 A collection of resources to learn mathematics for machine learning

  4.5k7514424

• louisfb01/start-machine-learning

  A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  4.4k1546578

• andri27-ts/Reinforcement-Learning

  Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  Language:Jupyter Notebook4.2k2458624

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k134741.2k

• chiphuyen/python-is-cool

  Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

  Language:Jupyter Notebook3.5k1194557

• mgechev/google-interview-preparation-problems

  leetcode problems I solved to prepare for my Google interview.

  Language:JavaScript3.1k770477

• bfortuner/ml-glossary

  Machine learning glossary

  Language:Python3k12535724

• merveenoyan/my_notes

  My small cheatsheets for data science, ML, computer science and more.

  1.6k291121

• orbitersim/orbiter

  Open-source repository of Orbiter Space Flight Simulator

  Language:C++1.6k46209220

• Yimeng-Zhang/feature-engineering-and-feature-selection

  A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

  Language:Jupyter Notebook1.4k288408

• upb-lea/reinforcement_learning_course_materials

  Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

  Language:Jupyter Notebook9383115213

• buildpacks/samples

  Samples for Cloud Native Buildpacks

  Language:Shell1951546147

• huyfam/cs229-solutions-2020

  Unofficial Stanford's CS229 Machine Learning Problem Solutions (summer edition 2019, 2020).

  Language:HTML841018

• apepa/information_retrieval_fmi

  Lab material for the IR retrieval course at SU- FMI, 2018

  Language:Jupyter Notebook26809

• stefk0/eai

  Записки по „Езици, автомати и изчислимост"

  Language:TeX14154