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Projects in Awesome Lists tagged with ai-training

A curated list of projects in awesome lists tagged with ai-training .

https://github.com/pykeio/ort

Fast ML inference & training for ONNX models in Rust

ai ai-training fine-tuning inference machine-learning onnx onnxruntime rust

Last synced: 23 Apr 2025

https://github.com/intel/dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

ai-inference ai-machine-learning ai-training analytics asyncio dag data-flow dataflows datasets dffml event-based flow-based-programming frameworks hyperautomation libraries machine-learning models pipelines python swrepo

Last synced: 08 May 2025

https://github.com/uxlfoundation/oneccl

oneAPI Collective Communications Library (oneCCL)

ai-machine-learning ai-training deep-learning libraries oneapi swrepo sycl

Last synced: 16 May 2025

https://github.com/oneapi-src/oneccl

oneAPI Collective Communications Library (oneCCL)

ai-machine-learning ai-training deep-learning libraries oneapi swrepo sycl

Last synced: 08 Jan 2025

https://github.com/morpheuslord/cve-llm_dataset

This is a dataset intended to train a LLM model for a completely CVE focused input and output.

ai-dataset ai-finetune ai-training llama2 openai openai-chatgpt textgeneration

Last synced: 09 May 2025

https://github.com/philips-software/go-hsdp-api

Client library to interact with various APIs used within Philips in a simple and uniform way

ai-inference ai-training ai-workspace auditing cartel cdl cdr fhir fhir-client hsdp hsdp-api iam iot ironio logging pki tdr

Last synced: 05 Mar 2025

https://github.com/mytechnotalent/hnn

A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

ai ai-education ai-training machine-learning neural neural-network neural-networks neural-networks-from-scratch pytorch stem

Last synced: 14 Feb 2025

https://github.com/hemangjoshi37a/aicomputerinteractionlogger

Python tool for capturing and logging human-computer interactions. Generate rich datasets for training multi-modal LLMs in autonomous computer control. Features screenshot, mouse, keyboard, and audio recording.

ai-dataset ai-training audio-recording automation autonomous-control computer-interaction computer-vision dataset-generation human-computer-interaction input-logging machine-learning multi-modal-llm nlp screen-capture

Last synced: 15 Apr 2025

https://github.com/atticusrussell/bingimageaitrainer

A tool for generating diverse synthetic training images using Bing Image Creator to facilitate the training of AI/ML image models.

ai ai-training bing-api generative-ai image-generation machine-image machine-learning machine-vision semantic-segmentation text-to-image training-data

Last synced: 02 May 2025

https://github.com/georgimy/quantumgrid

QuantumGrid is a Distributed Computing Framework. QuantumGrid's software lets you create a server which distributes data and the software for processing that data. QuantumGrid's software also lets devices connect to the specific server they want to connect with which automatically starts using their processing power to contribute to processing data

ai-training distributed-computing electron node typescript

Last synced: 06 Mar 2025

https://github.com/ohimoiza1205/ocr-label-studio-automation-

This project is an end-to-end workflow for processing a sample invoice using OCR & manual annotation. The project demonstrates how to extract text from an invoice using Tesseract OCR, refine the results in Label Studio, & prepare a high-quality dataset for AI training. Includes configuration files, scripts, & documentation for document processing

ai-training google-colab label-studio machine-learning ocr tesseract

Last synced: 12 Mar 2025

https://github.com/githubuseraccountamazing/vid2train

A Tool for Extracting Images from a Video for Artificial Intelligence Training.

ai-training cv2 image-dataset image-manipulation image-processing image-recognition pillow stable-diffusion torchvision vid2train

Last synced: 13 Mar 2025

https://github.com/fdero/backpropy

A very simple implementation of the back-propagation algorithm for neural networks training, written in python, from scratch (no-frameworks)

ai ai-training back-propagation neural-network neural-networks no-frameworks proof-of-concept python

Last synced: 26 Feb 2025

https://github.com/thetwopct/folder2txt

Convert local folder contents into a single text file with ease - perfect for analysis, documentation, or AI/LLM training purposes.

ai-tools ai-training cli llm-training text

Last synced: 06 Mar 2025

https://github.com/ksm26/pretraining-llms

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

ai-training cost-effective-pretraining data-preparation depth-upscaling developer-advocacy high-quality-datasets hugging-face large-language-models llm-evaluation machine-learning meta-llama model-configuration model-initialization performance-assessment pretraining-llms text-generation training-runs

Last synced: 28 Mar 2025

https://github.com/circa10a/ai-troller

A web server tarpit that slowly streams dumb data to pollute AI training bots

ai-training caddy caddy-examples crack tarpit tarpitting

Last synced: 13 Mar 2025

https://github.com/thapelomagqazana/car-racing-ai-dashboard

A real-time AI training dashboard for CarRacing-v0 using FastAPI, React, ONNX Runtime, and PostgreSQL.

ai-training car-racing-v0 fastapi postgresql react real-time-dashboard websockets

Last synced: 24 Mar 2025

https://github.com/musty-ess/nim-ai-reinforcement-learning

This project implements an AI that teaches itself to play the game of Nim using Q-learning, a form of reinforcement learning. By playing games against itself, the AI learns optimal strategies for playing Nim, eventually improving its performance by updating a reward table based on game outcomes.

ai ai-training artificial-intelligence game-ai machine-learning python q-learning reinforcement-learning self-learning-ai

Last synced: 02 Mar 2025

https://github.com/shane-staret/ai-dog-identification-system-bucknell-csci-357

A Python solution utilizing neural networks and deep learning (via TensorFlow & Keras) to classify images as containing dogs or not.

ai ai-training deep-learning image-processing keras machine-learning neural-networks tensorflow tensorflow-keras

Last synced: 23 Feb 2025