Deep-Learning-Computer-Vision VS stanford-CS229

Compare Deep-Learning-Computer-Vision vs stanford-CS229 and see what are their differences.

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. (by seloufian)

stanford-CS229

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked] (by ccombier)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Deep-Learning-Computer-Vision stanford-CS229
1 8
106 380
- -
2.6 10.0
about 3 years ago 10 months ago
Jupyter Notebook Jupyter Notebook
- -
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.

Deep-Learning-Computer-Vision

Posts with mentions or reviews of Deep-Learning-Computer-Vision. We have used some of these posts to build our list of alternatives and similar projects.

stanford-CS229

Posts with mentions or reviews of stanford-CS229. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-Computer-Vision and stanford-CS229 you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

cs229-solution - CS229 Solution (summer 2019, 2020).

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

pytorch-implementations - A collection of paper implementations using the PyTorch framework

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

ml-mipt - Former repository of ML course. Redirect link included

ml-course - Open Machine Learning course