aws-mlu-explain
Best_AI_paper_2020
aws-mlu-explain | Best_AI_paper_2020 | |
---|---|---|
3 | 29 | |
376 | 2,221 | |
3.5% | - | |
7.2 | 0.0 | |
5 months ago | over 2 years ago | |
JavaScript | ||
GNU General Public License v3.0 or later | 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.
aws-mlu-explain
-
For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning
Posting here as it was created using JavaScript. D3.js for the visuals, parcel for the bundler, and IntersectionObserver for the scrolls. All code available here: https://github.com/aws-samples/aws-mlu-explain
-
Smooth transition for presentation slides
HTML, CSS, JavaScript. Here is the repository with source code for the presentation, if you want to look into it
-
Amazon’s Visual, Interactive Explainer on The Bias Variance Tradeoff
It's d3.js, their source code is available https://github.com/aws-samples/aws-mlu-explain/tree/main/bias-variance
Best_AI_paper_2020
- Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- [Research] Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- How to read more research papers? (tips & tools given)
-
[Research][Project] The best AI papers of 2020 with a clear video demo, short read, paper, and code for each of them. Follow my progress in 2021!
The full list on GitHub: https://github.com/louisfb01/Best_AI_paper_2020
What are some alternatives?
netron - Visualizer for neural network, deep learning and machine learning models
mlreef - The collaboration workspace for Machine Learning
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
learnopencv - Learn OpenCV : C++ and Python Examples
picovoice - On-device voice assistant platform powered by deep learning
awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
MetaSpore - A unified end-to-end machine intelligence platform
NN-SVG - Publication-ready NN-architecture schematics.
PreferenceNet - PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning