ML-Papers-of-the-Week
ai-topics
ML-Papers-of-the-Week | ai-topics | |
---|---|---|
2 | 1 | |
9,000 | 15 | |
4.8% | - | |
8.5 | 2.2 | |
3 days ago | 10 months ago | |
Jupyter Notebook | ||
- | - |
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.
ML-Papers-of-the-Week
-
[D] Where can I find a list of the foundational academic papers in RL/ML/DL and what are your go-to places to find new academic papers in RL/ML/DL?
Labml.ai stopped working in May. I like https://github.com/dair-ai/ML-Papers-of-the-Week
-
What an Insane Week in AI
This is what works for me so far:
- This repo has a list of important papers at the end of every week: https://github.com/dair-ai/ML-Papers-of-the-Week
ai-topics
-
awesome-ai-awesomeness VS ai-topics - a user suggested alternative
2 projects | 21 Aug 2023
What are some alternatives?
fastMONAI - Simplifying deep learning for medical imaging
awesome-ai-awesomeness - A curated list of awesome awesomeness about artificial intelligence
CAH - Code used for Cards Against Humanity EMNLP paper
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Goodreads-Review-Webscraping-and-Text-Analysis - Goodreads review data along with scraping functions and machine learning models for spam detection
awesome-semantic-segmentation - :metal: awesome-semantic-segmentation
nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
netron - Visualizer for neural network, deep learning and machine learning models