bigdatamatta
Artificial Intelligence | Big Data | IoT | Data Science | Robotic Process Automation | GEOINT| Digital Transformation Expert
Pinned Repositories
AutoBazaar
AutoBazaar: An AutoML System from the Machine Learning Bazaar
autoimpute
Python package for Imputation Methods
Automated-Exploratory-Data-Analysis--EDA--
EDA is one part of the Machine Learning. The aims of EDA is to summarize a characteristiccs of the dataset. It's usually showed on visual method.
CategoricalEmbedder
Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
ChaLearn_Automatic_Machine_Learning_Challenge_2015
Data-Science--Cheat-Sheet
Cheat Sheets
DS_Production
ETL-pipeline-Redshift-and-S3
We will acreate a data warehouse by using AWS and build an ETL pipeline for a database hosted on Redshift. In this project we will need to load data from S3 to staging tables on Redshift and execute SQL statements that create the analytics tables from these staging tables.
lifetime_value
MALSAR
Multi-task learning via Structural Regularization
bigdatamatta's Repositories
bigdatamatta/AICrowd-Insurance-Pricing-Game
Top 100 among 1400 participants in insurance claims prediction leaderboard submission to the AICrowd Insurance Pricing Game
bigdatamatta/AISonobuoy
Maritime Situational Awareness: An Exploration
bigdatamatta/c22-usage-examples
A collection of usage examples for pycatch22.
bigdatamatta/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.
bigdatamatta/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.
bigdatamatta/Diff-SV
Pytorch implementation of Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models
bigdatamatta/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
bigdatamatta/faiss
A library for efficient similarity search and clustering of dense vectors.
bigdatamatta/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.
bigdatamatta/financial-agent
A financial agent, built entirely with LangChain!
bigdatamatta/gamutRF
An SDR orchestrated scanner and collector.
bigdatamatta/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
bigdatamatta/grok-1
Grok open release
bigdatamatta/learning_ray
Code for the upcoming book "Learning Ray" with O'Reilly
bigdatamatta/llmtime
bigdatamatta/Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
bigdatamatta/metaseq
Repo for external large-scale work
bigdatamatta/pastis-benchmark
bigdatamatta/PDE-FIND
bigdatamatta/QCNNCancerClassifier
Quantum Convolutional Neural Network to classify esophagus cancer
bigdatamatta/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
bigdatamatta/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
bigdatamatta/SARDet_100K
Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection
bigdatamatta/sbsim
bigdatamatta/SkyScan
Automatically photograph planes that fly by!
bigdatamatta/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.
bigdatamatta/theseus
A library for differentiable nonlinear optimization
bigdatamatta/Transformer_MPC
bigdatamatta/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
bigdatamatta/utae-paps
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.