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ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking"

alchemy

arbitragerepair

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

cassie-rl

An OpenAI Gym style reinforcement learning interface for Agility Robotics' biped robot Cassie

caster

Caster - Command-line control for ChromeCast

ceres-python

Python binding for ceres-solver

chainer-fast-neuralstyle

Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".

compare_gan

Compare GAN code.

dcgan

Deep Convolutional Generative Adversarial Network (DCGAN)

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction

doc

doc

g2opy

Python binding of SLAM graph optimization framework g2o

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

hyperloglog

Python Implementation of Super and Hyper Log Log Sketches

jpt-amz

kaggle-2014-criteo

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

kaldi_cntk_ami

Example scripts that illustrate how to use Kaldi+CNTK for speech recognition.

loan-default-prediction

Loan Default Prediction at Kaggle

lowrankcnn

Low-rank convolutional neural networks

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

mos

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR'19].

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

neural-diffusion-processes

Neural Diffusion Processes

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

neuraldialog-cvae

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

neuralsde-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.