pneumonia_detection
d2l-en
pneumonia_detection | d2l-en | |
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2 | 6 | |
13 | 21,759 | |
- | 1.6% | |
0.0 | 8.5 | |
almost 2 years ago | 15 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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pneumonia_detection
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Help with resume! Just graduated (:
Same goes for your pneumonia project. Not a hiring manager although if I got asked by my lead to rate an application, I'd say projects you copy from Google are a big minus and if I find an applicants project on google within a minute, I'd have a lot less confidence in said candidate vs. somebody who is out there producing original projects. 1 really good original project is better and more valuable than 2 or 3 projects from tutorials.
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I wanted to try streamlit, so I trained a model to diagnose lung X-Rays (Pneumonia) and visualised it with streamlit [not hosted]
The model had a ~91% accuracy on a 300 image test set. It had the most problems with false positives (which I guess is better then false negatives🤷‍♂️) --> check confusion matrix in github readme for more
d2l-en
- which book to chose for deep learning :lan Goodfellow or francois chollet
- d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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How to pre-train BERT on different objective tasks using HuggingFace
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
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The Transformer in Machine Translation
GitHub's article on Dive into Deep Learning
- D2l-En
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I created a way to learn machine learning through Jupyter
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
What are some alternatives?
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
streamlit - Streamlit — A faster way to build and share data apps.
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)