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amazing-feature-engineering icon amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

covid19_fesh icon covid19_fesh

A full python virtual environment to get worldwide data on infection numbers of the covid-19 pandemic.

csgraduatefellowships icon csgraduatefellowships

A curated list of fellowships for graduate students in Computer Science and related fields.

indaba-2018 icon indaba-2018

Practical Notebooks for the Deep Learning Indaba 2018

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-from-scratch icon ml-from-scratch

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlops_roadmap_and_curriculum icon mlops_roadmap_and_curriculum

Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems

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