ai-deadlines VS cs229-solution

Compare ai-deadlines vs cs229-solution and see what are their differences.

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ai-deadlines cs229-solution
3 1
5,394 2
0.9% -
8.7 4.1
6 days ago 4 months ago
JavaScript HTML
MIT License 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.

ai-deadlines

Posts with mentions or reviews of ai-deadlines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-31.

cs229-solution

Posts with mentions or reviews of cs229-solution. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ai-deadlines and cs229-solution you can also consider the following projects:

conference-deadlines - :alarm_clock: AI conference deadline countdowns + Calendar overview with deadlines and conference dates.

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]

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

ML-University - Machine Learning Open Source University

cs229-2019-summer - All notes and materials for the CS229: Machine Learning course by Stanford University

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

poor-mans-vr - Watch videos in VR using only your front camera + tensorflow.js

ml-classify-text-js - Machine learning based text classification in JavaScript using n-grams and cosine similarity

spaGO - Self-contained Machine Learning and Natural Language Processing library in Go