ml-framework

There are 10 repositories under ml-framework topic.

  • gmontamat/poor-mans-transformers

    Implement Transformers (and Deep Learning) from scratch in NumPy

    Language:Python22301
  • theolepage/prophecy

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

    Language:C++90212
  • acharles7/machine-learning-project-template

    A template for every machine learning project

    Language:Python6101
  • cx0y/open-ml-libraries

    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

    speediedan/deep_classiflie

    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 deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"

    Language:Python35780
  • aakinlalu/TimeSeries-Anomaly-App

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

    Language:Python2201
  • skywalkerSam/Machine-Learning-and-Data-Science-Bootcamp

    Getting started with AI & ML!

    Language:Jupyter Notebook1100
  • deep_classiflie_db

    speediedan/deep_classiflie_db

    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 analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.

    Language:Jupyter Notebook12560
  • philxhuang/torch-learn

    Personal ML Journey

  • dcondrey/mlu

    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.

    Language:Python