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🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A flexible template for setting up deep learning experiments with pytroch and hydra
Likelihood-free AMortized Posterior Estimation with PyTorch
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
A Python toolkit for (simulation-based) inference and the mechanization of science.
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
Pen and paper exercises in machine learning
Language model alignment-focused deep learning curriculum
Classificrops is a tool dedicated to convert an European crops classification to the ICC classification
Techniques for deep learning with satellite & aerial imagery
A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
An LSTM to generate a crop mask for Togo
A master repository of all Data Science projects, concepts, tools and resources that I learn and write about on my blog.
PyTorch implementation of popular datasets and models in remote sensing
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Repository for SEN12MS related codes and utilities
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
All Algorithms implemented in Python