arthritiskneedoctor's repositories

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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Scrapegraph-ai

Python scraper based on AI

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3DSAM-adapter

Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

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AI-Assistants-phidata

Build AI Assistants with memory, knowledge and tools.

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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AI-for-Healthcare-Data

Clinical Analysis and Modeling for EHR data, 2D and 3D medical imaging data, applying Pydicom, Pytorch, Keras-tensorflow, with medical and healthcare regulations and standards, for FDA submission

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audioseal

Localized watermarking for AI-generated speech audios, with SOTA on robustness and very fast detector

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automation

Automation with Python (Excel, scripts, etc)

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awesome-generative-ai

A curated list of Generative AI tools, works, models, and references

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bark

🔊 Text-Prompted Generative Audio Model

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Building-AI-Applications-with-ChatGPT-APIs

Building AI Applications with ChatGPT APIs, published by Packt

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DEFI_getting-started

Start developing and backtesting your own automated trading strategies

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fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

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faster-whisper

Faster Whisper transcription with CTranslate2

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GEMINI-API-cookbook

A collection of guides and examples for the Gemini API.

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nitrain

Train AI models efficiently on medical images using any framework

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openui

OpenUI let's you describe UI using your imagination, then see it rendered live.

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pubmed_parser

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

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pypdf

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

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Python_Algorithms

All Algorithms implemented in Python

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PyZoBot

A Python implementation of a RAG architecture for querying Zotero reference management libraries

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recipes

Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production

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screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

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torchtune

A Native-PyTorch Library for LLM Fine-tuning

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VoiceCraft

Zero-Shot Speech Editing and Text-to-Speech in the Wild

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WhisperS2T

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

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