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Projects in Awesome Lists tagged with ml-framework

A curated list of projects in awesome lists tagged with ml-framework .

https://github.com/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

Last synced: 27 Mar 2025

https://github.com/theolepage/prophecy

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

cpp cpp17 machine-learning machine-learning-framework machine-learning-from-scratch ml-framework neural-network

Last synced: 06 Oct 2025

https://github.com/brkcvlk/mlfcrafter

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code. Build production-ready ML workflows in minutes, not hours.

ai automation automl beginner-friendly data-processing data-science framework library machine-learning ml-framework mlops model-training pipeline production-ready python python3 scikit-learn toolkit workflow xgboost

Last synced: 14 Jan 2026

https://github.com/zerfoo/zerfoo

A modular, accelerator-ready machine learning framework built in Go that speaks float8/16/32/64. Designed with clean architecture, strong typing, and native concurrency for scalable, production-ready AI systems. Ideal for engineers who value simplicity, speed, and maintainability.

autodiff deep-learning distributed-training float16 float8 fp16 fp8 go golang graph-ml machine-learning ml-framework neural-network onnx transformer

Last synced: 14 Oct 2025

https://github.com/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

Last synced: 05 Oct 2025

https://github.com/programmer-rd-ai/detectx

A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while maintaining high performance and extensibility.

coco-dataset computer-vision computer-vision-library cuda deep-learning detectron2 faster-rcnn gpu-accelerated machine-learning ml-framework object-detection object-recognition python3 pytorch retinanet

Last synced: 10 Jun 2025

https://github.com/programmer-rd-ai/object-detection-framework

A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while maintaining high performance and extensibility.

coco-dataset computer-vision computer-vision-library cuda deep-learning detectron2 faster-rcnn gpu-accelerated machine-learning ml-framework object-detection object-recognition python3 pytorch retinanet

Last synced: 24 Sep 2025

https://github.com/klus3kk/fit

A machine learning framework built from scratch in Python.

in-progress machine-learning ml-framework python

Last synced: 14 Sep 2025

https://github.com/Programmer-RD-AI/DetectX

A Pythonic approach to object detection using Detectron2, a clean, modular framework for training and deploying computer vision models. DetectX simplifies the complexity of object detection while maintaining high performance and extensibility.

coco-dataset computer-vision computer-vision-library cuda deep-learning detectron2 faster-rcnn gpu-accelerated machine-learning ml-framework object-detection object-recognition python3 pytorch retinanet

Last synced: 04 May 2025

https://github.com/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

Last synced: 02 Aug 2025

https://github.com/mat-kubiak/manual-ml

DIY ML framework (using only NumPy!) + various demos

artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy

Last synced: 06 Apr 2025