Popular GitHub Repositories for Primary Attributions

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

This is "SHIELD" a System for Harmful explicit-content Identification and Evaluation through LLM-Driven approach. Its primary object is to score explicit content for 15 different categories of explicitness from 0 to 100, it leverages LLMs as the primary scoring tool.

Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis

Diffusers-Interpret ?????♀?: Model explainability for ? Diffusers. Get explanations for your generated images.

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Primary RNA sequence model

A software to automatically tag images. It's primary use is for training Stable Diffusion checkpoints and loras.

Nano-BERT is a straightforward, lightweight and comprehensible custom implementation of BERT, inspired by the foundational "Attention is All You Need" paper. The primary objective of this project is to distill the essence of transformers by simplifying the complexities and unnecessary details.

Primary Recommender System: online[matching|ranking...](Flask|Vue) - nearline[model serving|real-time service](Flink|tensorflow serving|redis) - offline[feature engine|model training](Spark|Hdfs(Hbase)|tf)

langchain-mystic is a LangChain framework based bot that currently specializes in dream interpretation and fortune-telling. While these are its primary features for now, stay tuned to see what other mystical abilities

An MCP server implementation that enables AI assistants like Claude to use a Neo4j knowledge graph as their primary, dynamic instruction manual and project memory for standardized coding workflows.

The primary objective of this project is to develop a cutting-edge forecasting model utilizing advanced machine-learning algorithms and sophisticated time-series analysis techniques. The model aims to deliver precise predictions of future sales across diverse retail outlets.

MaidDragon is an ambitious open-source project aimed at developing an intelligent agent (IA) frontend for gpt4all, a local AI model that operates without an internet connection. The project's primary objective is to enable users to interact seamlessly with advanced AI capabilities locally, reducing dependency on external server

langgraph-mystic is a LangGraph framework based bot that currently specializes in dream interpretation and fortune-telling. While these are its primary features for now, stay tuned to see what other mystical abilities

A Node package for using AI to keep multiple files with different locale translations in sync with a single primary locale file

Substitution of red meat with legumes and risk of primary liver cancer in UK Biobank participants: A prospective cohort study

Parkinson’s disease is a central nervous system disorder. Its symptoms occur because of low dopamine levels in the brain. Four Primary symptoms are tremor, rigidity, slow movement and balance problems. Till now no cure for Parkinson’s Disease is known, treatment aims to reduce the effects of the symptoms.

This project has two primary goals. First, it aims to improve inventory management by using the ARIMA model for accurate daily sales quantity forecasts. Second, it seeks to enhance customer engagement by applying the K-Means model to segment customers and personalize marketing strategies.

This project is the result of a laboratory study exploring the primary approaches to image generation using neural networks.