Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Generative image model with learned similarity measures

A simple command-line interface for toggl.com

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

Unbiased Learning To Rank Algorithms (ULTRA)

Extra batteries for Keras

Bring Deep Learning to small devices

Cython implementation of k-MC2 and AFK-MC2 seeding

Underlying SEIR simulator for the YYG / covid19-projections.com model

EXIST is a web application for aggregating and analyzing cyber threat intelligence.

Slack.com bot in Python for webhook

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Python codes for weakly-supervised learning

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

Generative Adversarial Networks in Keras

Trainable ISTA for sparse signal recovery

Japanese translation of Dive into Deep Learning

Implementation of Frequent-Directions algorithm for efficient matrix sketching [E. Liberty, SIGKDD2013]

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

A Bridging Framework for Model Optimization and Deep Propagation (NIPS-2018)

Time Sequence Prediction by some NN.

Wasserstein GAN implementation with keras

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