FernandoDeMeer

FernandoDeMeer's Stars

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.3k9236643.6k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2752253.1k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.2k64657653

• hfawaz/dl-4-tsc

  Deep Learning for Time Series Classification

  Language:Python1.6k4847571

• ydataai/ydata-synthetic

  Synthetic data generators for tabular and time-series data

  Language:Jupyter Notebook1.4k32102235

• MilaNLProc/contextualized-topic-models

  A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

  Language:Python1.2k17109146

• JJJerome/mbt_gym

  mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading problems such as market-making and optimal execution. The module is set up in an extensible way to allow the combination of different aspects of different models. It supports highly efficient implementations of vectorized environments to allow faster training of RL agents.

  Language:HTML1535341

• SigCGANs/Conditional-Sig-Wasserstein-GANs

  Language:Python12541056

• rubenbriones/Probabilistic-Sharpe-Ratio

  Probabilistic Sharpe Ratio example in Python (by Marcos López de Prado)

  Language:Jupyter Notebook1209255

• stefan-jansen/synthetic-data-for-finance

  Material for QuantUniversity talk on Sythetic Data Generation for Finance.

  Language:Jupyter Notebook1043041

• AlexiaJM/relativistic-f-divergences

  Code from paper "On Relativistic f-divergences" (http://arxiv.org/abs/1901.02474)

  Language:Python849817

• AI-team-UoA/pyJedAI

  An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.

  Language:Python7151111

• blafabregue/TimeSeriesDeepClustering

  This is the code corresponding to the experiments conducted for the work "End-to-end deep representation learning for time series clustering: a comparative study" (Baptiste Lafabregue, Jonathan Weber, Pierre Gançarki & Germain Forestier)

  Language:Python39437

• tianlinxu312/cot-gan

  COT-GAN: Generating Sequential Data via Causal Optimal Transport

  Language:Python370212

• brunnurs/entity-matching-transformer

  To reproduce experiments of the paper "Entity Matching with Transformer Architectures"

  Language:Python272110

• NilsBarlaug/lemon

  LEMON: Explainable Entity Matching

  Language:Jupyter Notebook18212

• gpapadis/ContinuousFilteringBenchmark

  Continuous Benchmark of Filtering methods for Entity Resolution

  Language:Python8213

• wbsg-uni-mannheim/ALMSER-GB

  This repository contains the code and data for reproducing the results of the paper "Graph-boosted Active Learning for Multi-Source Entity Resolution" presented at ISWC2021.

  Language:Jupyter Notebook4202

• holzesev/E_TSB-RNN

  Detecting Errors in Databases with Bidirectional Recurrent Neural Networks

  Language:Jupyter Notebook3