kirillzx

kirillzx's Stars

• TA-Lib/ta-lib-python

  Python wrapper for TA-Lib (http://ta-lib.org/).

  Language:Cython10k3366091.8k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k43881.1k

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k127219939

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9374884

• hwalsuklee/tensorflow-generative-model-collections

  Collection of generative models in Tensorflow

  Language:Python3.9k15927854

• deepcharles/ruptures

  ruptures: change point detection in Python

  Language:Python1.7k30119161

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k3481204

• patrick-kidger/NeuralCDE

  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

  Language:Python63220970

• tejaslodaya/timeseries-clustering-vae

  Variational Recurrent Autoencoder for timeseries clustering in pytorch

  Language:Python470121984

• yandex-research/tab-ddpm

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

  Language:Python40964490

• abudesai/timeVAE

  TimeVAE implementation in keras/tensorflow

  Language:Python12731927

• zhiyongc/GRU-D

  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

  Language:Python1135829

• illidanlab/dpgan

  Source code of paper "Differentially Private Generative Adversarial Network"

  Language:Python676628

• CasperHogenboom/WGAN_financial_time-series

  Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.

  Language:Python664126

• gitgik/differential-privacy-federated-learning

  Curated notebooks on how to train neural networks using differential privacy and federated learning.

  Language:Jupyter Notebook662015

• BorealisAI/continuous-time-flow-process

  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

  Language:Python47634

• acphile/RTSGAN

  Language:Python38289

• JamesSullivan/temporalCN

  Implementation of 2019 Quant GANs: Deep Generation of Financial Time Series paper

  Language:Jupyter Notebook284113

• GavinKerrigan/functional_diffusion

  Language:Python20102

• ahmedmalaa/Fourier-flows

  Language:Jupyter Notebook17448

• Jinsung-Jeon/GT-GAN

  Language:Python14316

• bigdyl-kaist/OCTGAN

  PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)

  Language:Python13011

• BorealisAI/continuous-latent-process-flows

  Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)

  Language:Python12315

• AlgoMathITMO/CLSGAN

  Synthetic financial time series generation with regime clustering

  Language:Jupyter Notebook10415

• kirillzx/TRGAN

  TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

  Language:Jupyter Notebook9204

• KoheiHayashi0826/Fractional-SDE-Net

  Language:Python7102

• kirillzx/CLSGAN

  📈Synthetic financial time series generation with regime clustering📈

  Language:Jupyter Notebook5001

• anafisa/Multi-Language-Translation-of-News

  Language:Jupyter Notebook210

• anafisa/Text2Text-Transformer

  Large Multi-Language Models for News Translation

  Language:Jupyter Notebook110

• kirillzx/JDFlow

  🧑🏻‍💻 Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion

  Language:Jupyter Notebook1102