PaulScemama
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Vector (and Scalar) Quantization, in Pytorch
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
A Data Streaming Library for Efficient Neural Network Training
Scenic: A Jax Library for Computer Vision Research and Beyond
A curated list of awesome Active Learning
Distributed Reinforcement Learning accelerated by Lightning Fabric
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. Mo…
Minimal Implementation of Bayesian Optimization in JAX
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
JAX - A curated list of resources https://github.com/google/jax
This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
An introduction to functional programming for scalable statistical computing
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A software for causal probabilistic programming and inference.
A game theoretic approach to explain the output of any machine learning model.
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库