ML-Papers-of-the-Week
fastMONAI
| ML-Papers-of-the-Week | fastMONAI | |
|---|---|---|
| 2 | 1 | |
| 9,000 | 91 | |
| 4.8% | - | |
| 8.5 | 8.1 | |
| 2 days ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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
fastMONAI
-
fastMONAI: a low-code deep learning library for medical image analysis
We have released version 0.1 of fastMONAI, a low-code Python-based deep learning library for medical imaging built on top of fastai, MONAI, and TorchIO. We created the library to simplify the use of state-of-the-art deep learning techniques in 3D medical image analysis for solving classification, regression, and segmentation tasks. The entire library is written using nbdev, a tool for exploratory programming that allows you to write, test, and document a Python library in Jupyter Notebooks. You can install the library using pip and download the tutorial notebooks here: https://github.com/MMIV-ML/fastMONAI. If you decide to try it out and discover any issues, please don’t hesitate to reach out!
What are some alternatives?
CAH - Code used for Cards Against Humanity EMNLP paper
learnopencv - Learn OpenCV : C++ and Python Examples
Goodreads-Review-Webscraping-and-Text-Analysis - Goodreads review data along with scraping functions and machine learning models for spam detection
fake-news - Building a fake news detector from initial ideation to model deployment
ai-topics - Hot topics on AI
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 !