ml-framework

There are 1 repository under ml-framework topic.

gmontamat / poor-mans-transformers
Implement Transformers (and Deep Learning) from scratch in NumPy
deep-learning from-scratch machine-learning ml-framework neural-network nlp transformers
Language:Python 22
theolepage / prophecy
A tiny deep neural network framework developed from scratch in C++ and CUDA.
machine-learning neural-network machine-learning-from-scratch machine-learning-framework ml-framework cpp17 cpp meta-project-show meta-project-color-8877f4 meta-project-order-2
Language:C++ 9
acharles7 / machine-learning-project-template
A template for every machine learning project
ml-tutorial ml-framework classification-model
Language:Python 5
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.
ml ml-framework ml-library nlp-library nlp-machine-learning ml-hosting ml-tools deep-learning machine-learning spacy apache-spark spark analytics automl
5
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"
albert bokeh captum data-engineering database deep-learning disinformation fact-checking interpretability machine-learning machine-learning-analysis machine-learning-research ml ml-framework nlp pytorch research-project transformer-architecture twitter-bot umap
Language:Python 3
aakinlalu / TimeSeries-Anomaly-App
Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network
anomaly anomaly-detectionn isolation-forest-algorithm machine-learning ml-framework notification
Language:Python 2
skywalkerSam / Machine-Learning-and-Data-Science-Bootcamp
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Language:Jupyter Notebook 1
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.
albert bokeh captum data-engineering database deep-learning disinformation fact-checking interpretability machine-learning machine-learning-analysis machine-learning-research ml ml-framework nlp pytorch research-project transformer-architecture twitter-bot umap
Language:Jupyter Notebook 1
philxhuang / torch-learn
Personal ML Journey
machine-learning deep-learning ml-framework pytorch tensorflow reinforcement-learning online-learning mooc udacity coursera edx stanford-online carnegie-mellon-university
0
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.
artificial-intelligence data-preprocessing data-science deep-learning efficiency experiment-tracking machine-learning machine-learning-tools ml-framework model-evaluation modular python-library utility-library
Language:Python

ml-framework

gmontamat / poor-mans-transformers

theolepage / prophecy

acharles7 / machine-learning-project-template

cx0y / open-ml-libraries

speediedan / deep_classiflie

aakinlalu / TimeSeries-Anomaly-App

skywalkerSam / Machine-Learning-and-Data-Science-Bootcamp

speediedan / deep_classiflie_db

philxhuang / torch-learn

dcondrey / mlu