Stars
🤗 smolagents: a barebones library for agents that think in code.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Official PyTorch implementation of StyleGAN3
GeoAI: Artificial Intelligence for Geospatial Data
A simple way to calibrate your neural network.
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"
Convert Telegram Contacts JSON File to VCF File
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement
Inference code for "Aerial Image Dehazing with Attentive Deformable Transformers" [WACV-23]
small example on how to get SVO (subject, verb, object) information from an input, as well as whether that input was a question.
a 2d game using evolutionary algorithms and neural networks
A Python-based agent designed to generate trading signals using evolutionary algorithms
A console HTTP client tool with some optional args
This project implements a peer-to-peer (P2P) file distribution software from scratch
An implementation of the Fuzzy C-Means (FCM) clustering algorithm from scratch in Python.
An artificial intelligence project to detect the author of a given Persian poem, identifying whether it was written by Molana, Hafez, or Ferdowsi.
A simple neural network implemented from scratch using NumPy to recognize handwritten digits.
This project aims to implement and analyze an algorithm for detecting social structures in graphs.
clustering wikipedia docs using rocchio algorithm
A simple implementation of Breadth-First Search (BFS), Iterative Deepening Search (IDS), and A* algorithms for solving a card game.
This is a short project in which the Active-learning methods are examined on diverse datasets