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Starred repositories
Graph Neural Network Library for PyTorch
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
🕶 A curated list of Tiny Object Detection papers and related resources.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
This project fine-tune a pretrained Google Vision Transformer (ViT) model on the NWPU-RESISC45 dataset using the Hugging Face Transformers library.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
openvla / openvla
Forked from TRI-ML/prismatic-vlmsOpenVLA: An open-source vision-language-action model for robotic manipulation.
This repository contains a project on solar panels dust detection using Convolutional Neural Networks (CNNs) architectures and their comparison.
A Python library to easily visualize geospatial data of Morocco.
This project proposes the implementation of a Linear Kalman Filter from scratch to track stationary objects and individuals or animals approaching a drone's landing position, aiming to mitigate col…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A crash course into using Python for geospatial analysis.
Program to classify remote sensing data (LAS, CSV) based on Scikit-Learn
Software for working with satellite & aerial imagery ML datasets
Masking HSI ROIs using SAM, Grounding Dino & other python tools
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Geospatial Data Science with Julia
Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University
Best Practices, code samples, and documentation for Computer Vision.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learning Python for spatio-temporal analysis
The Clay Foundation Model (in development)
All the useful tools I have been using while working in data science for remote sensing