"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Pip compatible CodeBLEU metric implementation available for linux/macos/win

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鸿蒙NEXT HDC命令合集

Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793

Python code of Hilbert-Schmidt Independence Criterion

Make ID photo right in the browser.

HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

Code accompanying the notMIWAE paper

Missingness Aware Gaussian Mixture Models

Gaussian mixture model for incomplete (missing or truncated) and noisy data

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Master Thesis at TUM

Hacking DELL Wyse 5070

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

A Python library that helps data scientists to infer causation rather than observing correlation.

Root Cause Discovery: Root Cause Analysis of Failures in Microservices through Causal Discovery

This is the official repo for the paper "Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles", Tang et al. https://arxiv.org/abs/2303.03751

基于注意力机制的少量样本故障诊断 pytorch

Active Bayesian Causal Inference (Neurips'22)

Polytomous Variable Latent Class Analysis (R package)

Causal Effect Engine is a Golang package for causal inference

Light-weighted code for Orthogonal Additive Gaussian Processes

This is a code demo for post-nonlinear mixture learning under simplex structure.

A Python implementation of global optimization with gaussian processes.

Combustion engine simulator that generates realistic audio.