ml-course
embedml
ml-course | embedml | |
---|---|---|
8 | 2 | |
2,059 | 4 | |
2.4% | - | |
2.4 | 2.5 | |
3 days ago | 10 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ml-course
embedml
- Checkout embedML a pure python baby autograd engine, for #ML. Simple and easy to follow behind the scene of tools like #PyTorch and #JAX in less than 200 line of code! :) ⭐️ Inspired by #tinygrad or #micrograd
- Check out embedML a pure #python baby autograd engine, for #ML. Simple and easy-to-follow building blocks of NN Libraries like #PyTorch and #JAX in less than 200 lines of code! :) 📷 Inspired by #tinygrad or #micrograd
What are some alternatives?
pytorch-implementations - A collection of paper implementations using the PyTorch framework
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
TabularSemanticParsing - Translating natural language questions to a structured query language
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
fastai - The fastai deep learning library