lgm

Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"

🦙 echoOLlama: A real-time voice AI platform powered by local LLMs. Features WebSocket streaming, voice interactions, and OpenAI API compatibility. Built with FastAPI, Redis, and PostgreSQL. Perfect for private AI conversations and custom voice assistants.

Lets Grow More Data Science Internship. Blog 👇🏻

To-Do-List at Lets Grow More

Student-Enrollment-Form at Lets Grow More

Modern Calculator app Using HTML, CSS and JavaScript.

Benchmarking of PMIP4 climate models using Cleator 2019 pollen data. Status: Pending publication. Work done during Laia's PDRA position at University of Reading (SPECIAL group)

Architect of the Large Graph Model (LGM). Implementing the Canonical Causal Ontology (0–25) into hardware to bridge the gap between deterministic logic and physical reality. Engineering the first physical substrate for entropy-free ASI.

This repository is part of the publication "Global variability in LGM cooling by paleoclimate datasets affects biome reconstructions in mountains" by Rentier et al. (2025) and contains the information needed to reproduce the analysis and visualisations of the research.

Task-1 Beginner level task by Let's Grow More Virtual Internship Programme

LGMVIP-TASK-1-BEGINNER-LEVEL-task-Create-a-tO-DO-LIST-WEBAPP

Task-2 Intermediate level task by Let's Grow More Virtual Internship Programme

State of our Europe Pollen Records, read and test me - Eifel, Furamoos, LGP, Echets and LDB