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Name: PL
Type: User
Name: PL
Type: User
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
Evaluation of Deep Learning Frameworks
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
MIT Deep Learning Book in PDF format
Deep Learning Book Chinese Translation
A PyTorch implementation of the "Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection" paper by Liang et. al.
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Code repository for DenseReg.
End-to-End Object Detection with Transformers
CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification
Deep Learning GPU Training System
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
Pytorch implementation of "One-Sided Unsupervised Domain Mapping"
Neural Network Distiller: a Python package for neural network compression research.
Teaches a student network from the knowledge obtained via training of a larger teacher network
CVPR19 - Deep Network Interpolation for Continuous Imagery Effect Transition
All about domain generalization
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017
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.