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A Tex file corresponding to the Alar Kannada - English Dictionary - generated from the YAML original.
V. Krishna's Alar (Kannada - English) open data dictionary corpus licensed under OdBL.
Class file for University of Washington thesis formatting with LaTeX.
Repository for training transformer _and recurrent_ language models via HuggingFace in an entirely configuration-file driven manner.
KNphone is a phonetic algorithm for indexing Kannada words by their pronunciation, like Metaphone for English.
🤖 Machine Learning Summer School Guide
Audio Dataset for training CLAP and other models
A Python based API to access Indian language WordNets.
Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2
diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
A library to generate LaTeX expression from Python code.
Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China
A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services
NumPy aware dynamic Python compiler using LLVM
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…
Final Project for COMP 551. A detailed tutorial on the various techniques employed for adversarial attacks on machine learning classifiers and the possible ways to prevent such attacks.
This is a collection of signals interesting for historical or cultural reasons. Each signal is described and analyzed in an [ipython notebook](http://ipython.org/notebook.html).
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)