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Decentralised food supply chain to trace products from end to end and provide a smart and reliable way of providing information to the customers.
Free Flutter UI Kits developed by Olayemi Garuba
All Algorithms implemented in Python
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
app test for satgpt updates (langchain + panel)
😎 A curated list of awesome MLOps tools
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Block Chain and Flutter Powered Contract Farming App
Flutter App that uses ML to predict the total yield of a certain crop in a certain season in a particular area
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
This is a flappy bird game implemented using pygame in python. It offers three modes to users. First is the manual play mode. Second is the one where an AI learns to play the game and then plays it…
A curated list of feature engineering techniques for image and text machine learning
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Techniques for deep learning with satellite & aerial imagery
sidhq / Multi-GPT
Forked from Significant-Gravitas/AutoGPTAn experimental open-source attempt to make GPT-4 fully autonomous.
3rd Position Overall, with a Cash Prize of ₹2500. A smart farming application that makes agriculture more efficient and effective with the help of high-precision algorithms.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)