lan1991xu Goto Github PK
Name: Xu Lan
Type: User
Company: Queen Mary, University of London
Location: London
Name: Xu Lan
Type: User
Company: Queen Mary, University of London
Location: London
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
Arnold - DOOM Agent
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
A curated list of deep learning resources for computer vision
Caffe: a fast open framework for deep learning.
ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
Implementation for our paper "Conditional Image-Text Embedding Networks" (coming soon)
This code is for the paper "Confident Multiple Choice Learning".
CondenseNet: Light weighted CNN for mobile devices
Reinforcement Learning and Deep Learning Resources
TensorFlow implementation of Deep Reinforcement Learning papers
Summaries and notes on Deep Learning research papers
Implementation of recent Deep Learning papers
A library for deep learning in Thenao. It allows easy definition of deep networks using XML configuration files. It includes different packages for convolutional networks and reinforcement learning.
Hierarchical Object Detection with Deep Reinforcement Learning
A large scale study of Knowledge Distillation.
Detection based on Reinforcement Learning and Deep-Q-Net.
Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper)
Pytorch implementation of Domain Separation Networks
Efficient Architecture Search by Network Transformation
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
Faster-RCNN in Tensorflow
Pytorch implementation of feature distilling GAN for person reID. (NIPS18)
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Must-read papers on graph neural networks (GNN)
Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535
image captioning codebase in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)
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.