machinehearing
cs231n
| machinehearing | cs231n | |
|---|---|---|
| 1 | 1 | |
| 220 | 42 | |
| - | - | |
| 7.3 | 0.0 | |
| about 2 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
machinehearing
-
[P] Mel Frequency Cepstral Coefficients Transformation
I made a notebook that illustrates the distributions of MFCC values here: https://github.com/jonnor/machinehearing/blob/master/handson/quantized-mfcc/MFCC-Spectrogram-Shifts.ipynb
cs231n
-
Assignment solutions for Stanford CS231n-Spring 2021
Here's the link to my Repo.
What are some alternatives?
hackmd - CodiMD - Realtime collaborative markdown notes on all platforms. [Moved to: https://github.com/hackmdio/codimd]
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
steerable-nafx - Steerable discovery of neural audio effects
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
vid2cleantxt - Python API & command-line tool to easily transcribe speech-based video files into clean text
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
AudioInsightsGenerator - Unlock AI power with AudioInsightsGenerator! From audio to summaries, emotion analysis, idea generation, narratives, and content filtering. Explore your audio's hidden dimensions!
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]