Respiratory-Disease-Coughing-Dataset-CNN
Youtube-Code-Repository
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| Respiratory-Disease-Coughing-Dataset-CNN | Youtube-Code-Repository | |
|---|---|---|
| 1 | 5 | |
| 2 | 838 | |
| - | - | |
| 5.1 | 1.6 | |
| over 2 years ago | 9 months ago | |
| Jupyter Notebook | Python | |
| MIT License | - |
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Respiratory-Disease-Coughing-Dataset-CNN
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Respiratory Disease/ Coughing Spectrogram dataset with CNN
Recently for my essay, I collected a dataset of coughing spectrograms from the different audio datasets and did some processing to have this one. I used it for building a CNN that recognizes if a patient has respiratory disease or not, but the datset is mainly composed of COVID 19 patients. I buit the network using python tensorflow and keras. Link to the github repo is here: https://github.com/KenWuqianghao/Respiratory-Disease-Coughing-Dataset-CNN
Youtube-Code-Repository
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Overall loss in PPO, why does it matter?
In Phil tabor's implementation it calculates Actor and Critic loss separately (line 95+) and does not calculate equation 9.
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Intrinsic Curiosity Module Pytorch multithreading cpu unable to fix seeds
I am working on an extension of this implementation https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/ICM of the intrinsic curiosity module. It uses A3C(Actor -critic) as a policy and the ICM is a bolt on module.
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PPO cannot play CartPole ?
A very good performance reference code, which convers in 200 episodes.
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Rl algorithm implemented
Github code - https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/DDPG/tensorflow2/pendulum
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Lunar Lander using Deep Q-Learning
I was wondering why the code looked so familiar, not just the design, but even the syntax and names of functions. I went through these myself when I was learning: Youtube-Code-Repository/ReinforcementLearning/DeepQLearning at master · philtabor/Youtube-Code-Repository (github.com). Its by a YouTuber / Udemy course instructor that goes through the design and coding process from scratch. This is probably mostly lifted straight from that repo. He even has a video on doing the lunar lander example too.
What are some alternatives?
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
RL-Algorithms - This repository has RL algorithms implemented using python
COVID19_mobility - COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
Quantsbin - Quantitative Finance tools
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
lunar-lander