Implement Transformers (and Deep Learning) from scratch in NumPy
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Oct 3, 2023 - Python
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ml-framework
Here are 10 public repositories matching this topic...
A tiny deep neural network framework developed from scratch in C++ and CUDA.
machine-learning neural-network cpp cpp17 machine-learning-from-scratch ml-framework machine-learning-framework
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Feb 18, 2021 - C++
A template for every machine learning project
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Apr 11, 2020 - Python
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.
machine-learning spark apache-spark deep-learning analytics ml spacy nlp-library nlp-machine-learning automl ml-library ml-framework ml-hosting ml-tools
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Oct 28, 2024
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…
nlp twitter-bot machine-learning database deep-learning ml pytorch data-engineering bokeh research-project albert fact-checking umap machine-learning-analysis interpretability disinformation transformer-architecture ml-framework machine-learning-research captum
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Aug 22, 2023 - Python
Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network
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Jul 25, 2022 - Python
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…
nlp twitter-bot machine-learning database deep-learning ml pytorch data-engineering bokeh research-project albert fact-checking umap machine-learning-analysis interpretability disinformation transformer-architecture ml-framework machine-learning-research captum
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Feb 2, 2021 - Jupyter Notebook
Getting started with AI & ML!
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May 5, 2023 - Jupyter Notebook
Personal ML Journey
machine-learning udacity reinforcement-learning deep-learning mooc tensorflow coursera pytorch edx carnegie-mellon-university online-learning stanford-online ml-framework
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Jul 21, 2019
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.
data-science machine-learning modular deep-learning python-library efficiency artificial-intelligence utility-library data-preprocessing model-evaluation ml-framework experiment-tracking machine-learning-tools
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Mar 18, 2024 - Python
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