Popular GitHub Repositories for Uncertainty Sampling

Time series forecasting with PyTorch

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

LightSeq: A High Performance Library for Sequence Processing and Generation

A procedural Blender pipeline for photorealistic training image generation

Natural Gradient Boosting for Probabilistic Prediction

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Lightweight, useful implementation of conformal prediction on real data.

Boltzmann Machines in TensorFlow with examples

基于Pytorch和torchtext的自然语言处理深度学习框架。

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Pool-based active learning in Python

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Curated list of open source tooling for data-centric AI on unstructured data.

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

An extension of XGBoost to probabilistic modelling

PyTorch Implementation for Deep Metric Learning Pipelines

Simple and readable code for training and sampling from diffusion models