Highlights
- Pro
Stars
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
Cloud storage for JupyterLab using Google Drive
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction (cython implementation)
Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
A list of papers on Generative Adversarial (Neural) Networks
A system for quickly generating training data with weak supervision
Models and examples built with TensorFlow
Data Apps & Dashboards for Python. No JavaScript Required.
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
Audio Explorer helps in audio data discovery and labelling by utilising unsupervised machine learning, statistics and digital signal processing.
Multiple simultaneous, stable, resumable large file uploads for Dash using resumable.js
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Variable Inspector extension for Jupyterlab
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
JupyterLab computational environment.
JupyterLab extension visualize data with Voyager
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Birdsong classification in noisy environments with Convolutional Neural Networks implemented in Keras Deep Learning library for the BIRDCLEF 2016 competition. Can be fine-tuned to arbitrary audio c…
DenseNets for the detection of singing birds in audio files
Collection of notebooks and scripts related to audio processing and machine learning.
Thousands of bird sounds visualized using machine learning.
Lightweight library to build and train neural networks in Theano