| PrismarineJS/mineflayer |
4,350 |
|
68 |
145 |
about 2 years ago |
165 |
September 02, 2023 |
293 |
mit |
JavaScript |
| Create Minecraft bots with a powerful, stable, and high level JavaScript API. |
| twtrubiks/docker-tutorial |
1,425 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Python |
| Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝 |
| stephencwelch/Neural-Networks-Demystified |
1,285 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
|
Jupyter Notebook |
| Supporting code for short YouTube series Neural Networks Demystified. |
| jeeliz/jeelizAR |
338 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
JavaScript |
| JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL. |
| llSourcell/Convolutional_neural_network |
337 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube |
| llSourcell/Make_a_neural_network |
196 |
|
0 |
0 |
almost 7 years ago |
0 |
|
13 |
|
Python |
| This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube |
| llSourcell/LSTM_Networks |
176 |
|
0 |
0 |
about 7 years ago |
0 |
|
5 |
|
Jupyter Notebook |
| This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube |
| llSourcell/recurrent_neural_network |
143 |
|
0 |
0 |
almost 7 years ago |
0 |
|
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 |
| chasingbob/deep-learning-resources |
138 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
|
| A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning. |
| stmorgan/pythonNNexample |
126 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
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. |
