Zeyi Tao (taozeyi1990)

taozeyi1990

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Company:College of William and Mary

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Zeyi Tao's starred repositories

google-research

Google Research

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PySyft

Perform data science on data that remains in someone else's server

Language:PythonLicense:Apache-2.0Stargazers:9452Issues:198Issues:3394

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4342Issues:132Issues:350

awesome-ios-cn

iOS 资源大全中文版,内容包括:框架、组件、测试、Apple Store、SDK、XCode、网站、书籍等

text

Models, data loaders and abstractions for language processing, powered by PyTorch

Language:PythonLicense:BSD-3-ClauseStargazers:3501Issues:306Issues:796

DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Language:Jupyter NotebookLicense:MITStargazers:2953Issues:111Issues:12

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Language:PythonLicense:MITStargazers:1866Issues:53Issues:75

Bilibili-Live-API

BILIBILI 直播/番剧 API

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

Language:PythonLicense:NOASSERTIONStargazers:636Issues:25Issues:39

Deep-Compression-PyTorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

Language:PythonLicense:BSD-2-ClauseStargazers:404Issues:39Issues:0

fedavgpy

On the Convergence of FedAvg on Non-IID Data

Language:PythonLicense:MITStargazers:251Issues:5Issues:4

NLP-Model

Learning and practice

deep-compression

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

Language:Jupyter NotebookLicense:MITStargazers:174Issues:4Issues:6

psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

autonn

A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation

VGG16-PyTorch

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

signSGD

Code for the signSGD paper

Language:Jupyter NotebookStargazers:79Issues:4Issues:2

curveball

Second-order optimiser for deep networks

federated-ml

Detect anomalies in network traffic data using Federated Machine Learning technique.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:67Issues:3Issues:4

sparsifiedSGD

Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:54Issues:9Issues:1

ADragDropView

Add a Drag and drop view (swift) for your macOS app easily

Language:SwiftLicense:MITStargazers:45Issues:5Issues:3

qSGD

SGD and Ordered SGD codes for deep learning, SVM, and logistic regression

Language:PythonLicense:MITStargazers:34Issues:2Issues:2

psgd_tf

Tensorflow implementation of preconditioned stochastic gradient descent

next_word_prediction

Pytorch implementation of next word prediction. Includes my own implementation of Google AI's Transformer architecture

Bilibili-iOS

Bilibili iPhone & iPad client demo.

Language:Objective-CStargazers:20Issues:1Issues:2

TwoStreamFederatedLearning

The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)

Language:PythonLicense:MITStargazers:14Issues:5Issues:0

LIBS2ML

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

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