ruclty

ruclty's Stars

• ruc-datalab/RelGen

  Language:Jupyter Notebook7

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24k2.7k

• wuziniu/FSPN

  Factorize Sum Product Network

  Language:Jupyter Notebook246

• wurenzhi/learned_ndv_estimator

  Learned model to estimate number of distinct values (NDV) of a population using a small sample.

  Language:Python71

• TsinghuaDatabaseGroup/DBMeeting

  Putting Database Meeting Reports Together

  34

• faisalbasra/postgres_books

  393223

• FMInference/FlexiGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.2k547

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.7k311

• Newbeeer/Poisson_flow

  Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

  Language:Python84858

• openai/guided-diffusion

  Language:Python6.1k817

• yandex-research/tab-ddpm

  [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

  Language:Python38082

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.1k1k

• for0nething/FACE-A-Normalizing-Flow-based-Cardinality-Estimator

  A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

  Language:Python215

• Jamesyang2333/SAM

  A learning-based method for high-fidelity database generation.

  Language:Python157

• lmunoz-gonzalez/Poisoning-Attacks-with-Back-gradient-Optimization

  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"

  Language:MATLAB214

• mit-han-lab/data-efficient-gans

  [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

  Language:Python1.3k175

• vanderschaarlab/DECAF

  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

  Language:Python168

• DataManagementLab/restore

  Implementation of our paper "ReStore - Neural Data Completion for Relational Databases"

  Language:Jupyter Notebook43

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k1.7k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.7k

• ruc-datalab/dagan

  Language:Python34

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k4.1k

• yashkant/model-inversion-attack

  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

  Language:Jupyter Notebook7919

• pavanap/Model-Inversion-Attack

  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

  Language:Jupyter Notebook22

• amices/mice

  Multivariate Imputation by Chained Equations

  Language:R441107

• JiyaSu/CapelliniSpTRSV

  A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs

  Language:C5612

• lstruski/Processing-of-missing-data-by-neural-networks

  Language:Python4112

• HoloClean/holoclean

  A Machine Learning System for Data Enrichment.

  Language:Python516131

• steveli/misgan

  MisGAN: Learning from Incomplete Data with GANs

  Language:Python8021

• jsyoon0823/GAIN

  Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

  Language:Python365152