Exercises for the lecture "Selected Topics in Audio Signal Processing"
Repository Index
47,133 repositories indexed
97–116 of 116 · Most stars
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
Jupyterlab extension to show notebook cell completion notifications
- jupyter
- jupyterlab
- browser-notifications
- jupyterlab-extension
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Open Matrix (OMX)
- omx
- matrix-data
- open-data
- travel-modeling
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
- notebooks
- pyspark-notebook
- juypter-notebook
- spark
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
- ad9833
- ad9834
- ad9850
- adf4351
A multi-language tokenizer for extracting identifiers from source code.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
- tensorflow
- tensorflow2
- watermarking
- neural-network
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
Graviton: verify your TEAL program by experiment and observation
- algorand
- avm
- blockchain
- pyteal
Display Youtube metrics using Google API and MicroPython
- esp32
- micropython
- micropython-esp32
- tft
Clock generators ( Si5351 for now ) toolbox.
- si5351
- ft232h
- micropython
- esp32
Better Python Stacktraces with power of AI.
🗺 General purpose U-Network implemented in Keras for image segmentation
- tensorflow
- cv
- cnn
- dnn
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.