phoenixstar7's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
carbon-language/carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ethereum/solidity
Solidity, the Smart Contract Programming Language
fastai/fastbook
The fastai book, published as Jupyter Notebooks
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
williamfiset/Algorithms
A collection of algorithms and data structures
lnishan/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
ctjhoa/rust-learning
A bunch of links to blog posts, articles, videos, etc for learning Rust
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
cpp-best-practices/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
nrc/r4cppp
Rust for C++ programmers
cpp-best-practices/gui_starter_template
A template CMake project to get you started with C++ and tooling
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
rochacbruno/py2rs
A quick reference guide for the Pythonista in the process of becoming a Rustacean
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
kanster/awesome-slam
A curated list of awesome SLAM tutorials, projects and communities.
ckormanyos/real-time-cpp
Source code for the book Real-Time C++, by Christopher Kormanyos
theEmbeddedGeorge/theEmbeddedNewTestament.github.io
igl42/cpp_software_design
Code Examples from "C++ Software Design: Design Principles and Patterns for High-Quality Software" (ISBN: 1098113160)
yanhan/reading-list
phoenixstar7/Get_Better_at_CP_in_2_Months
This contains the curriculum that I will follow to get better at Competitive Programming in 2 months.
phoenixstar7/interview-prep-cpp
My solutions to coding interview problems on Leetcode, Algoexpert, Codewars and other interview preparation websites
phoenixstar7/systems_expert
Notes as I go through SystemsExpert at https://www.algoexpert.io/systems/product