selfie VS ITC

Compare selfie vs ITC and see what are their differences.

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selfie ITC
21 1
2,349 4
0.5% -
9.7 10.0
2 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
BSD 2-clause "Simplified" 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.

selfie

Posts with mentions or reviews of selfie. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-06.

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 selfie and ITC you can also consider the following projects:

oscam-patched - Open Source Cam Emulator

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

coollang-2020-fs - Compiler of a small Scala subset

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

perseus - A state-driven web development framework for Rust with full support for server-side rendering and static generation.

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

scamp-cpu - A homebrew 16-bit CPU with a homebrew Unix-like-ish operating system.

algorithmica - A computer science textbook

shecc - A self-hosting and educational C optimizing compiler

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.

the_ray_tracer_challenge_in_rust - Repository to follow my development of "The Raytracer Challenge" book by Jamis Buck in the language Rust

ld - LambdaDelta