Awesome-LLM: a curated list of Large Language Model

[ICDAR 2023] SelfDocSeg: A self-supervised vision-based approach towards Document Segmentation (Oral)

Code accompanying the submission "Structural Text Segmentation of Legal Documents" by Aumiller et al.

Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet

Run semantic queries over your twitter history

py2dataset analyzes source code to generate structured datasets describing code content and behavior. It extracts information from Python files and converts it into JSON-formatted datasets. These d…

Causal Inference and Discovery in Python by Packt Publishing

Code for the Book Causal Inference in Python

scikit-learn: machine learning in Python

Utilized deep Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

Investigated the global patterns of temperature extremes

Leveraged Deep Learning (Transformers) to Predict Wildfire

Evaluated the performance of 3 billion+ band combinations of 9 vegetation index types by conducting regression analysis to determine the optimal chlorophyll index for chlorophyll content estimation.

Predicting wildfire spread with deep learning

Prediction of wildfires in the future.

Wildfire smoke detection with Faster R-CNN via Pytorch 🔥🚒🧑‍🚒

PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Python package for causal inference using Bayesian structural time-series models.

Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).