zhangtj1996

ReMax

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

Adam-mini

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

HSIC

Python code of Hilbert-Schmidt Independence Criterion

idify

Make ID photo right in the browser.

HuatuoGPT

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

notMIWAE

Code accompanying the notMIWAE paper

MGMM

Missingness Aware Gaussian Mixture Models

pygmmis

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

PythonNumericalDemos

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

pnl_gaussian

Master Thesis at TUM

KCORES-5070

Hacking DELL Wyse 5070

pandora

潘多拉，一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT that helps you breathe smoothly.

backpack

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

causalnex

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

rcd

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

Taming-Stable-Diffusion-with-Human-Ranking-Feedback

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

Fault-diagnosis-for-small-samples-based-on-attention-mechanism

基于注意力机制的少量样本故障诊断 pytorch

active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

poLCA

Polytomous Variable Latent Class Analysis (R package)

joint-probability-estimation

CEE

Causal Effect Engine is a Golang package for causal inference

orthogonal-additive-gaussian-processes

Light-weighted code for Orthogonal Additive Gaussian Processes

post-nonlinear_mixture_learning

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

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

engine-sim

Combustion engine simulator that generates realistic audio.

merlin

An extensible C++ library for probabilistic inference in graphical models.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

CDCI

Conditional Divergence based Causal Inference (CDCI) - CLeaR 2022

veridical-flow

Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.

rdc

The Randomized Dependence Coefficient in Python