energybogey's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
aosabook/500lines
500 Lines or Less
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
merveenoyan/my_notes
My small cheatsheets for data science, ML, computer science and more.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
PacktPublishing/Advanced-Data-Structures-and-Algorithms-in-Python
Advanced Data Structures and Algorithms in Python [Video], published by Packt
clemedon/Makefile_tutor
This project aims to create a crystal clear tutorial on a cryptic looking topic.
nebuly-ai/optimate
A collection of libraries to optimise AI model performances
InterviewReady/system-design-resources
These are the best resources for System Design on the Internet
khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
0xAX/linux-insides
A little bit about a linux kernel
dair-ai/GNNs-Recipe
🟠A study guide to learn about Graph Neural Networks (GNNs)
labmlai/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
preslavmihaylov/booknotes
A collection of my book notes on various subjects, mainly computer science
EmilHernvall/dnsguide
A guide to writing a DNS Server from scratch in Rust
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
jwasham/computer-science-flash-cards
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
visenger/awesome-mlops
A curated list of references for MLOps
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
deepdrive/deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
nwang57/FastSLAM
Python simulation of FastSLAM
ika-rwth-aachen/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
eleurent/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
NUAAXQ/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.