Ashok Matta's repositories
AISonobuoy
Maritime Situational Awareness: An Exploration
c22-usage-examples
A collection of usage examples for pycatch22.
CentralBankRoBERTa
CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary sentiment classifier that identifies the emotional content of sentences in central bank communications.
Clustering-with-LLM
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Diff-SV
Pytorch implementation of Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models
encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
faiss
A library for efficient similarity search and clustering of dense vectors.
FCD-GAN-pytorch
A pytorch project of the algorithm FCD-GAN. Fully Convolutional Change Detection Framework with Generative Adversarial Network (FCD-GAN) is a newly proposed framework for change detection in multi-temporal remote sensing images.
financial-agent
A financial agent, built entirely with LangChain!
gamutRF
An SDR orchestrated scanner and collector.
gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
grok-1
Grok open release
learning_ray
Code for the upcoming book "Learning Ray" with O'Reilly
Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
metaseq
Repo for external large-scale work
QCNNCancerClassifier
Quantum Convolutional Neural Network to classify esophagus cancer
quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
SARDet_100K
Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection
SkyScan
Automatically photograph planes that fly by!
Solar-Flare-Classification
Solar flares result from the sudden release of magnetic energy stored in the Sun, posing potential risks to Earth's communication and infrastructure. Extreme class imbalance and high-dimensional time series data pose challenges. The study aims to use MINIROCKET and other classifiers for real-time flare prediction.
tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
utae-paps
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.