🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, windsurf, notion, and MetaAI.

Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch

Llama 3 API 70B & 405B (MetaAI Reverse Engineered)

HacxGPT Jailbreak 🚀: Unlock the full potential of top AI models like ChatGPT, LLaMA, and more with the world's most advanced Jailbreak prompts 🔓.

This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.

The goal of the SAM Rock Fragmentation repository is to use the recent Segment Anything mask generator model created by MetaAI and implement it with an interface and set of algorithms to calculate the P80 resulting from a blasting.

FastAPI wrapper for Meta AI with chat, image generation & video generation. Easy deployment with cookie-based auth. 🚀

Karbon is a desktop app that uses AI to generate and iteratively refine HTML/CSS/JS websites from simple prompts. Built with Python and Tkinter, it provides a live preview and export functionality.

AI for meta42

Example implementation of "Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles" by Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew Muckley, and Karen UllrichWork conducted as part of a MetaAI internship.

The application of large pre-trained vision model DINOv2 from MetaAI for feature points matching, and a ViT decoder used for Auto Encoder

fine-tuning of the Segment-Anything model by MetaAI

Reimplementation of speech decoding 2022 paper by MetaAI

No description available

Training Segment Anything Model(SAM) by MetaAI from scratch and fine-tuning it with NDIS Park(Night and Day Instance Segmented Park) dataset.

Promtless-TaskSpecific-Finetuning of MetaAI Segment-Anything Model

LLM-proxy to expose one selected provider from Gpt4Free e.g. MetaAI or ChatGPT into n8n AI Agent as OpenAI compatible LLM

SAM3 Image Segmentation is a user-friendly web application built with Gradio that leverages the Segment Anything Model 3 (SAM3) from Meta AI to perform zero-shot instance segmentation on images using natural language text prompts.

Functions for aiding meta-analyses in Ecology, Evolution and beyond

A deep learning library specialised for meta-learning, based on fastai and Pytorch

No description available

No description available

Airdrop Interface

sauraya AI is a Mobile interface that allows you to interact with large open source artificial intelligence models.

This project demonstrates three progressively advanced approaches to converting unstructured data into structured formats using AI

In this repository, I have explained the working of the LLaMA Model, provided the code for building it from scratch, and demonstrated how to train it.

No description available