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kaggle_data_science_competition

lab

A customisable 3D platform for agent-based AI research

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

machinelearning

MLND

mask_rcnn

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

mobilenet

MobileNet build with Tensorflow

models

Models built with TensorFlow

mscnn

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

mx-maskrcnn

An MXNet implementation of Mask R-CNN

neural_bayesian_personalized_ranking

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

neural_conversation_models

Tensorflow based Neural Conversation Models

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-1

Attention-based NMT with Coverage, Context Gate, and Reconstruction

openpose

OpenPose: Real-Time Multi-Person Keypoint Detection Library for Body, Face, and Hands

passiveaggressive-maxout

Code of "Passive-Aggressive online learning with nonlinear embeddings"

places365

The Places365-CNNs for Scene Classification

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pyword2vec

my python accomplish after reading the outling of word2vec made by google

quantized-cnn

An efficient framework for convolutional neural networks

rank_distill

A PyTorch implementation of Ranking Distillation

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

rpn_detector_tf

sdc-p5

Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

self-driving-car

The Udacity open source self-driving car project

self_driving_car_nd

Udacity, Self Driving Car Nanodegree Program

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

show_attend_and_tell.tensorflow