Adrian-Dupuis's Stars
Lakshmi-1212/Sudoku_Solver_LP
kamyu104/LintCode
📝 C++11 Solutions of All 289 LintCode Problems (No More Updates)
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3352 LeetCode Problems (Weekly Update)
alexeygrigorev/data-science-interviews
Data science interview questions and answers
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
amanchadha/coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
amanchadha/coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
lmoroney/dlaicourse
Notebooks for learning deep learning
TheAlgorithms/Scala
All Algorithms implemented in Scala
TheAlgorithms/Python
All Algorithms implemented in Python
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
TheAlgorithms/JavaScript
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
TheAlgorithms/C-Sharp
All algorithms implemented in C#.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
erykml/medium_articles
Scripts/Notebooks used for my articles published on Medium
fastai/fastbook
The fastai book, published as Jupyter Notebooks
SupaeroDataScience/machine-learning
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
tensorflow/docs
TensorFlow documentation
shap/shap
A game theoretic approach to explain the output of any machine learning model.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
mcreel/IntProbDS.jl
Julia code to accompany https://probability4datascience.com/index.html
googleworkspace/python-samples
🐍 Python samples for Google Workspace APIs
apache/kafka
Mirror of Apache Kafka
TheAlgorithms/R
Collection of various algorithms implemented in R.
TheAlgorithms/Algorithms-Explanation
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.