Popular GitHub Repositories for Extreme

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

PECOS - Prediction for Enormous and Correlated Spaces

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis (ECCV 2024 Oral) - Official Implementation

TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch

Datasets collection and preprocessings framework for NLP extreme multitask learning

Extreme Angular is a strict & opinionated starter template with pre-configured ESLint, Prettier, Stylelint, CSpell, Git hooks, CI/CD, and VS Code settings.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Extreme Learning Machine implemented in Pytorch

Adversarial Generation of Extreme Samples

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Official repository for PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement (WACV 2023)

Easy multi-task learning with HuggingFace Datasets and Trainer

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

Extreme learning machine implemented by python3 with scikit-learn interface

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles