lilujunai Goto Github PK
Name: IronMan
Type: User
Bio: I am Iron Man.
Name: IronMan
Type: User
Bio: I am Iron Man.
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
An implementation of the efficient attention module.
hyperparameter-optimization
A bag of tricks to speed up your deep learning process
My best practice of training large dataset using PyTorch.
A memory-efficient implementation of DenseNets
An efficient implementation for ImageNet classification
Collection of recent methods on DNN compression and acceleration
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Official implementation of the ICML'19 paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".
PyTorch elastic training
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.
Pytorch implementation of our paper under review -- Non-Parametric Adaptive Network Pruning
The implementation of epsilon ResNet
Learnable Embedding Space for Efficient Neural Architecture Compression
Evolution Strategy Library
PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
:hammer: Batch-clip multiple web pages from a text file.
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Finding CNN topologies using Genetic Algorithms
Unofficial PyTorch Implementation of EvoNorm
Evolving Normalization-Activation Layers
An implementation of EWC with PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.