Implement Transformers (and Deep Learning) from scratch in NumPy

A tiny deep neural network framework developed from scratch in C++ and CUDA.

A template for every machine learning project

A useful machine learning repository, for research and business use. This repository contains hundreds of open-source framework for artificial intelligence, you can use those for research and also can use in your business.

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…

Getting started with AI & ML!

Personal ML Journey

MLU is a modular ML toolkit resembling lodash, streamlining from data prep to deployment with chainable utility functions. It enhances ML workflows, seamlessly integrates with top frameworks, and supports efficient data handling and model evaluation. Open-source, MLU welcomes contributions to foster innovation and efficiency in the ML community.