tobymu

Pinned Repositories

Ad-papers
Papers on Computational Advertising
Language:Python00
apq
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Language:Python0 1 00
artistic-videos
Torch implementation for the paper "Artistic style transfer for videos"
Language:C++00
AutoCTR
code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/
Language:Python00
AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Language:Python00
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.
Language:VHDL00
awesome-nas-papers
Awesome Neural Architecture Search Papers
0 1 00
CTR
CTR模型代码和学习笔记总结
Language:Python00
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
Language:Python00
VideoMoCo
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
Language:Python10

tobymu's Repositories

tobymu/VideoMoCo
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
Language:Python10
tobymu/Ad-papers
Papers on Computational Advertising
Language:Python00
tobymu/apq
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Language:Python0 1 00
tobymu/artistic-videos
Torch implementation for the paper "Artistic style transfer for videos"
Language:C++00
tobymu/AutoCTR
code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/
Language:Python00
tobymu/AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Language:Python00
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.
Language:VHDL00
tobymu/awesome-nas-papers
Awesome Neural Architecture Search Papers
0 1 00
tobymu/CTR
CTR模型代码和学习笔记总结
Language:Python00
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
Language:Python00
tobymu/fast-neural-style
Feedforward style transfer
Language:Lua
tobymu/flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Language:C++
tobymu/flownet2-docker
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
Language:Shell
tobymu/GoMNIST
GoMNIST is a Go driver for reading Yann LeCun's MNIST dataset of handwritten digits
Language:Go1 0
tobymu/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Language:Python
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
Language:Makefile
tobymu/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++
tobymu/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
Language:Python
tobymu/test_asr
Language:HTML
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