ML-foundations VS ITC

Compare ML-foundations vs ITC and see what are their differences.

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ML-foundations ITC
1 1
2,984 4
- -
5.4 10.0
18 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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-foundations

Posts with mentions or reviews of ML-foundations. We have used some of these posts to build our list of alternatives and similar projects.
  • Worried about Calculus
    1 project | /r/OMSA | 1 Apr 2023
    As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations

ITC

Posts with mentions or reviews of ITC. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ML-foundations and ITC you can also consider the following projects:

2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

AcademicContent - Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.

selfie - An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

algorithmica - A computer science textbook

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents

intel-processors - Datasets for All Processors Maufactured By Intel