TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Implementations of few-shot object detection benchmarks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Implementation and examples for Tile2Vec

SOLID Principles explained in Python with examples.

A full spaCy pipeline and models for scientific/biomedical documents.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Scikit-learn style model finetuning for NLP

Neural Relation Extraction implemented in PyTorch

Must-read papers on neural relation extraction (NRE)

Sequence-to-Sequence learning using PyTorch

Pythonic HTML Parsing for Humans™

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

The fastai deep learning library

Adaptive Softmax implementation for PyTorch

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

A course in reinforcement learning in the wild

LSTM and QRNN Language Model Toolkit for PyTorch

Unsupervised Language Modeling at scale for robust sentiment classification

The Noise Contrastive Estimation for softmax output written in Pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Summaries and notes on Deep Learning research papers

a collection of my notes on deep learning