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Heartrate - real-time visualization of code execution. Observe your Python code with this tool. Python 3.5+
How to drive #Weights and #Biases matrices in #Neural_Networks for #Machine_Learning.
Code available at:
https://github.com/yasser64b/Machine-Learning-
Code available at:
https://github.com/yasser64b/Machine-Learning-
GitHub
GitHub - yasser64b/NN-basics: Machine Learning - Activation functions -Cost Functions _Weights Biases
Machine Learning - Activation functions -Cost Functions _Weights Biases - yasser64b/NN-basics
Let your machine play Super Mario Bros! and remind our youth.
Here is python implementation of Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros.
Here is python implementation of Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros.
Github repo:
https://github.com/vietnguyen91/Super-mario-bros-A3C-pytorch?fbclid=IwAR2H1BMV24t2d2VFr4QhxIEJ21jpgtTN7ev2IlAe_ledTM3msuBzhph4P2Q
Youtube demo:
https://www.youtube.com/watch?v=YdKz1eBv1kc&feature=youtu.be&fbclid=IwAR1eXCi43R9cwS7Kk5s49Aq0VOXJik-lzFxyL_JgyuaC9jTnkCIqOdkHV14
https://github.com/vietnguyen91/Super-mario-bros-A3C-pytorch?fbclid=IwAR2H1BMV24t2d2VFr4QhxIEJ21jpgtTN7ev2IlAe_ledTM3msuBzhph4P2Q
Youtube demo:
https://www.youtube.com/watch?v=YdKz1eBv1kc&feature=youtu.be&fbclid=IwAR1eXCi43R9cwS7Kk5s49Aq0VOXJik-lzFxyL_JgyuaC9jTnkCIqOdkHV14
GitHub
GitHub - vietnh1009/Super-mario-bros-A3C-pytorch: Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros - vietnh1009/Super-mario-bros-A3C-pytorch
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Let's have a little fun. World of Machine Learning, Deep Learning, Python with frameworks
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From ICCV 19: PIFu, an end-to-end deep learning method that can reconstruct a 3D model of a person wearing clothes from a single image.
Paper link:
https://arxiv.org/pdf/1905.05172.pdf
Official Page:
https://shunsukesaito.github.io/PIFu/
Code status: coming soon
https://arxiv.org/pdf/1905.05172.pdf
Official Page:
https://shunsukesaito.github.io/PIFu/
Code status: coming soon
shunsukesaito.github.io
PIFu
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A practical approach to learning machine learning
GitHub : https://github.com/GokuMohandas/practicalAI
- 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch
- 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/
GitHub : https://github.com/GokuMohandas/practicalAI
- 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch
- 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/
Computer Science and Programming
http://openaccess.thecvf.com/content_CVPR_2019/html/
This link is not valid curently. Alternatively, we can use this link:
http://openaccess.thecvf.com/CVPR2019.py
http://openaccess.thecvf.com/CVPR2019.py
How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-1). Medium article from Sourav Bose
All list of accepted REINFORECEMENT LEARNING papers to NeurIPS 2019