Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Docker Tutorial | 1,425 | 9 months ago | 5 | mit | Python | |||||
Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝 | ||||||||||
Neural Networks Demystified | 1,285 | a year ago | 12 | Jupyter Notebook | ||||||
Supporting code for short YouTube series Neural Networks Demystified. | ||||||||||
Convolutional_neural_network | 337 | 6 years ago | 7 | Jupyter Notebook | ||||||
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube | ||||||||||
Make_a_neural_network | 196 | 5 years ago | 13 | Python | ||||||
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube | ||||||||||
Lstm_networks | 176 | 6 years ago | 5 | Jupyter Notebook | ||||||
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube | ||||||||||
Recurrent_neural_network | 143 | 5 years ago | 2 | bsd-2-clause | Jupyter Notebook | |||||
This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube | ||||||||||
Deep Learning Resources | 138 | 5 years ago | 1 | mit | ||||||
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning. | ||||||||||
Pythonnnexample | 126 | 6 years ago | HTML | |||||||
Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates the exclusive OR function with two inputs and one output. | ||||||||||
Pong_neural_network_live | 103 | 7 years ago | 5 | Python | ||||||
This is the code for "Pong Neural Network(LIVE)" by @Sirajology on Youtube | ||||||||||
Stm Training | 97 | 2 years ago | 9 | gpl-3.0 | Python | |||||
training script for space time memory network |