MSardelich

CERMINE

Content ExtRactor and MINEr

Cluster-HyperEnsembles

Ensembles and hyperparameter optimization for clustering pipelines.

edgar

Securities and Exchange Commission (SEC) EDGAR database which contains regulatory filings from publicly-traded US corporations.

pdf-lib

Create and modify PDF documents in any JavaScript environment

traprange

(Java)A Method to Extract Tabular Content from PDF Files

ybat

Ybat - YOLO BBox Annotation Tool

streamlit

Streamlit — A faster way to build and share data apps.

mavo

Create web applications entirely by writing HTML and CSS!

name-dataset

The Python library for names.

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

keras-tuner

A Hyperparameter Tuning Library for Keras

dota2_death_prediction

code used to produce the paper Time to Die: Death Prediction in Dota 2 using Deep Learning.

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

talos

Hyperparameter Experiments with TensorFlow and Keras

BERT-keras

Keras implementation of BERT with pre-trained weights

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

chartify

Python library that makes it easy for data scientists to create charts.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

universal-portfolios

Collection of algorithms for online portfolio selection

screen

Time-series---deep-learning---state-of-the-art

Scientific time series and deep learning state of the art

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

DeepTimeSeries

A Keras-based library for analysis of time series data using deep learning algorithms.

Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

dtaidistance

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

keras-gcn

Keras implementation of Graph Convolutional Networks