GokuMohandas / Made-With-MLLinks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
☆41,837Updated 11 months ago
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. …☆27,128Updated last year
- Your new Mentor for Data Science E-Learning.☆14,156Updated last year
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,630Updated 9 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,363Updated 5 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,496Updated 2 months ago
- All Algorithms implemented in Python☆203,852Updated last week
- 100 Days of ML Coding☆47,946Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,644Updated 9 months ago
- An awesome Data Science repository to learn and apply for real world problems.☆27,114Updated last month
- A collection of various deep learning architectures, models, and tips☆17,157Updated last year
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,379Updated 10 months ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,520Updated 2 years ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,677Updated last year
- Simple and ready-to-use tutorials for TensorFlow☆16,366Updated 2 years ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,279Updated 5 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆69,274Updated last month
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,449Updated last year
- The fastai deep learning library☆27,321Updated this week
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,626Updated 5 years ago
- A curated list of references for MLOps☆13,265Updated 8 months ago
- List of Data Science Cheatsheets to rule the world☆15,579Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,539Updated last year
- The most cited deep learning papers☆25,934Updated last year
- Machine Learning Course with Python:☆7,055Updated 8 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,413Updated 5 months ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆28,202Updated last year
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,396Updated last week
- machine learning and deep learning tutorials, articles and other resources☆16,548Updated last year
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,240Updated last year
- Models and examples built with TensorFlow☆77,625Updated this week