Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Yt Channels Ds Ai Ml Cs | 1,084 | 6 months ago | ||||||||
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc. | ||||||||||
Ml University | 616 | a month ago | ||||||||
Machine Learning Open Source University | ||||||||||
A_journey_into_math_of_ml | 517 | 4 years ago | 12 | mit | Jupyter Notebook | |||||
汉语自然语言处理视频教程-开源学习资料 | ||||||||||
Mathematics_for_beginners | 482 | 4 years ago | 3 | |||||||
This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube | ||||||||||
Convolutional_neural_network | 337 | 4 years ago | 7 | Jupyter Notebook | ||||||
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube | ||||||||||
Lstm_networks | 176 | 4 years ago | 5 | Jupyter Notebook | ||||||
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube | ||||||||||
Deep_q_learning | 156 | 5 years ago | 3 | Jupyter Notebook | ||||||
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube | ||||||||||
Intro_to_the_math_of_intelligence | 153 | 4 years ago | 2 | mit | Python | |||||
This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube | ||||||||||
Recurrent_neural_network | 143 | 4 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 | ||||||||||
Machinelearning Deeplearning Code For My Youtube Channel | 127 | 3 days ago | 1 | Jupyter Notebook | ||||||
The full collection of all codes for my Youtube Channel segregated as per topic. |
This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
This is the code for this video on Youtube by Siraj Raval as part of The Math of Intelligence series. It's a simple numpy implementation of a recurrent network that can read in a sequence of words and then generate words in that style. We train it on Franz Kafka here.
Install missing ependencies with pip.
Type jupyter notebook
in terminal when in the main directory and it will pop up in your browser.
Install jupyter if you haven't yet
The credits for this code go to Andrej Karpathy. My favorite DL researcher <3 I've merely created a wrapper to get people started.