kougioulis

kougioulis's Stars

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python3.7k318

• tmdt-buw/Time-Series-Dataset-Survey-4-Forecasting-with-Deep-Learning

  Language:Python113

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python44759

• tshu-w/lightning-template

  PyTorch Lightning template for rapid, scalable and reproducible ML experimentation with best practices.

  Language:Python181

• souzatharsis/open-quant-live-book

  An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

  Language:TeX35487

• jsyoon0823/TimeGAN

  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

  Language:Jupyter Notebook852268

• mensxmachina/ETIA

  Automated Causal Discovery library in python

  Language:Python21

• MTS-BenchMark/MvTS

  Multivariate Time Series Repository

  Language:Python577

• gorodnitskiy/yet-another-lightning-hydra-template

  Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

  Language:Python20710

• theicfire/makefiletutorial

  Learn make by example

  Language:SCSS4.9k251

• philc/vimium

  The hacker's browser.

  Language:JavaScript23.4k2.5k

• sdv-dev/SDV

  Synthetic data generation for tabular data

  Language:Python2.3k310

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.2k4.1k

• Rose-STL-Lab/MCD

  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"

  Language:Python16

• marti5ini/GENCDA

  Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery

  Language:Jupyter Notebook152

• iutzeler/Introduction-to-Python-for-Data-Sciences

  Course of Introduction to Python for Data Sciences developed at Univ. Grenoble Alpes.

  Language:Jupyter Notebook2431

• kougioulis/CS-583

  Markov Equivalence on Maximal Ancestral Graphs (CS-583 (Graph Algorithms) Project, Fall 2023)

  Language:TeX3

• TeaPearce/Conditional_Diffusion_MNIST

  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

  Language:Python64169

• cloneofsimo/minDiffusion

  Self-contained, minimalistic implementation of diffusion models with Pytorch.

  Language:Python862118

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37k5.9k

• kamenbliznashki/normalizing_flows

  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

  Language:Python603101

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.3k2.5k

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.4k124

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python701107

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k3.4k

• spro/practical-pytorch

  Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

  Language:Jupyter Notebook4.5k1.1k

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook7.7k3.1k

• Gideon-Stein/CausalPretraining

  Implementation of "Embracing the black box: Heading towards foundation models for causal discovery from time series data"

  Language:Jupyter Notebook2

• rmwu/sea-reproduce

  Sample, estimate, aggregate: A recipe for causal discovery foundation models

  Language:Python92

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.6k3.3k