GokuMohandas / Made-With-MLLinks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
☆45,384Updated last year
Alternatives and similar repositories for Made-With-ML
Users that are interested in Made-With-ML are comparing it to the libraries listed below
Sorting:
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆30,081Updated 2 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,748Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,718Updated 2 years ago
- ☆13Updated 2 years ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆27,686Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆71,146Updated 2 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,787Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,225Updated last month
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,822Updated last month
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,316Updated last year
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆29,738Updated last year
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,587Updated 6 months ago
- The fastai book, published as Jupyter Notebooks☆24,190Updated last year
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,776Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,151Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,679Updated last year
- This repository is no longer maintained.☆15,387Updated 5 years ago
- 100 Days of ML Coding☆49,129Updated 2 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆19,868Updated this week
- Your new Mentor for Data Science E-Learning.☆14,301Updated 2 months ago
- Simple and ready-to-use tutorials for TensorFlow☆16,340Updated 3 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,938Updated 6 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,819Updated 2 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,434Updated last year
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,872Updated 2 years ago
- A curated list of references for MLOps☆13,510Updated last year
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,813Updated 3 months ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,402Updated 2 years ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆28,582Updated last year
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,194Updated 5 years ago