The Machine Learning cheatsheet
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
Upcoming project for representing research papers as vectors / latent representations. More coming soon
Probability of Backtest Overfitting
Merging Models for TensorFlow Serving
This tool can merge TensorFlow frozen models(.pb file) into the same model
Distributed storage for sequential data
This repository contains curated PyTorch implementations of several question answering systems evaluated on SQuAD
Multi-View Network in Keras
Keras implementation of Guo et al.’s Multi-View Network (2017).
Sequence to sequence models for machine translation in PyTorch
PyTorch implementation of Neural Processes
Neural Processes implementation for 1D regression
A visualization of 160,796 single cell trasncriptomes from the mouse nervous system
Policy Gradient (PG) Algorithms
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
Numerically generic typeful Scala ONNX API
TensorFlow on YARN (TonY) is a framework to natively run TensorFlow on Apache Hadoop.
Deequ – Unit Tests for Data
Deequ is a library built on top of Apache Spark for defining “unit tests for data”, which measure data quality in large datasets.