[ICLR’26] Official PyTorch Implementation of “HDR-NSFF: High Dynamic Range Neural Scene Flow Fields“

[AAAI 2026 Oral] Harnessing Vision-Language Models for Time Series Anomaly Detection

[BMVC'25] Official repository for "Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation"

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Marketing Science : Marketing Data Analytics & Bayesian Statistics

An implementation of the Automatic Statistician algorithm

Explainable Bayesian Models for Smooth Time Series Datasets (부드러운 시계열 함수를 설명하는 베이지안 추론 SW)

Expainable Baysian Models for Smooth Time Series Datasets (modified)

I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth

LLM inference in C/C++

Official inference framework for 1-bit LLMs

Kernel structure discovery research code - likely to be unstable

[ECCV'24] Textual Query-Driven Mask Transformer for Domain Generalized Segmentation

Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".

디스코드 gpt bot

Large Language & Foundation Models for Time Series.

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

PyTorch Implementation of Vector Quantized Variational AutoEncoders.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection