Pinned Repositories
Ad-papers
Papers on Computational Advertising
apq
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
artistic-videos
Torch implementation for the paper "Artistic style transfer for videos"
AutoCTR
code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/
AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
awesome-nas-papers
Awesome Neural Architecture Search Papers
CTR
CTR模型代码和学习笔记总结
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
VideoMoCo
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
tobymu's Repositories
tobymu/VideoMoCo
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
tobymu/Ad-papers
Papers on Computational Advertising
tobymu/apq
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
tobymu/artistic-videos
Torch implementation for the paper "Artistic style transfer for videos"
tobymu/AutoCTR
code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/
tobymu/AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
tobymu/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
tobymu/awesome-nas-papers
Awesome Neural Architecture Search Papers
tobymu/CTR
CTR模型代码和学习笔记总结
tobymu/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
tobymu/fast-neural-style
Feedforward style transfer
tobymu/flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
tobymu/flownet2-docker
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
tobymu/GoMNIST
GoMNIST is a Go driver for reading Yann LeCun's MNIST dataset of handwritten digits
tobymu/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tobymu/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
tobymu/RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
tobymu/styletransfer
Real-time neural style transfer via meta networks
tobymu/tensorflow
Computation using data flow graphs for scalable machine learning
tobymu/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
tobymu/test_asr
tobymu/VideoTransformer-pytorch
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
tobymu/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch