Best_AI_paper_2020
aws-mlu-explain
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| Best_AI_paper_2020 | aws-mlu-explain | |
|---|---|---|
| 29 | 3 | |
| 2,221 | 376 | |
| - | 5.9% | |
| 0.0 | 7.2 | |
| about 2 years ago | 5 months ago | |
| JavaScript | ||
| MIT License | GNU General Public License v3.0 or later |
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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)
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[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
aws-mlu-explain
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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
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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
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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
What are some alternatives?
mlreef - The collaboration workspace for Machine Learning
netron - Visualizer for neural network, deep learning and machine learning models
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.
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
learnopencv - Learn OpenCV : C++ and Python Examples
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)
picovoice - On-device voice assistant platform powered by deep learning
MetaSpore - A unified end-to-end machine intelligence platform
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
PreferenceNet - PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
NN-SVG - Publication-ready NN-architecture schematics.