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amoliu's Projects
value-prediction-network
NIPS 2017 Value Prediction Network
variational-text-tensorflow
TensorFlow implementation of Neural Variational Inference for Text Processing
variational_bayesian_clusterings
本科毕业设计
vb_linear
Variational Bayes linear regression
vel
Velocity in deep-learning research
veridataset
This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.
video_feature_extractor
Easy to use video deep features extractor
video_obj
基于视频的目标检测算法研究
video_smoke_detection
Spatio-Temporal Deep Neursl Network Based Video Smoke Detection
vin_pytorch_visdom
PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
visdial-challenge-starter-pytorch
Starter code in PyTorch for the Visual Dialog challenge
visdial-rl
PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning
visdial.pytorch
visual dialog model in pytorch
visual-analogy-tensorflow
Tensorflow implementation of Deep Visual Analogy-Making
visual-qa
Keras-based LSTM/CNN models for Visual Question Answering
vnpy
基于python的开源量化交易平台开发框架
voice-cloning-app
A Python/Pytorch app for easily synthesising human voices
vpc
[ICTAI 2018] This code is a TensorFlow implementation of the paper "Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning"
vq-vae
VQ-VAE implementation / pytorch
vqa_lstm_cnn
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
vqvae
a replicate of https://arxiv.org/pdf/1711.00937.pdf
vs-reid
Video Object Segmentation with Re-identification
vue
vue源码逐行注释分析+40多m的vue源码程序流程图思维导图 （diff部分待后续更新）
walk_the_blocks
Implementation of Scheduled Policy Optimization for task-oriented language grouding
wayne
Web UI for Kubernetes multi-clusters
welcome_tutorials
Various tutorials given for welcoming new students at MILA.
wenzheng
ai challenger 2018细粒度情感分类第一名解决方案,统一使用tensorflow和pytorch的一个框架
wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
word2vec
Python interface to Google word2vec
wvec
Word vectors
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