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API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Enabling meticulous logging for your Spark Applications
Instant search for and access to many datasets in Pyspark.
Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
A ultra-lightweight 3D renderer of the Tensorflow/Keras neural network architectures
Publication-ready NN-architecture schematics.
Neural network visualization toolkit for tf.keras
Neural network visualization toolkit for keras
This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685
The fundamental package for scientific computing with Python.
Use AutoAI to detect fraud
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
This repository contains additional resources to the article "Multidimensional Recurrence Quantification Analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation…
Code to replicate the experimental results in paper "Adversarial Regression with Multiple Learners" @ ICML 2018
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
playing idealized trading games with deep reinforcement learning
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
A Multiclass Weed Species Image Dataset for Deep Learning
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
code for solving global structure from motion problem in the ECCV'14 paper "Robust Global Translations with 1DSfM"
A set of best practices for JavaScript projects