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Name: PL
Type: User
Name: PL
Type: User
PyTorch implementation of bilinear CNN for fine-grained image recognition
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
Code for "Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation" accepted by AAAI-2021.
book
Caffe: a fast open framework for deep learning.
modified version of caffe which support DeconvNet and DecoupledNet
Caffe for Sparse and Low-rank Deep Neural Networks
LSTM implementation on Caffe
Python Layers for Caffe.
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
Caffe models in TensorFlow
Class Activation Mapping
A Tensorflow implementation of Capsule Networks
Must-read papers and resources related to causal inference and machine (deep) learning
Libraries for training and testing Continuous Conditional Neural Fields with a number of sample problems and other baselines.
Celeb-DF: A New Dataset for DeepFake Forensics
Channel Pruning for Accelerating Very Deep Neural Networks
Semantic Image Synthesis via Efficient Class-Adaptive Normalization
A library for benchmarking vulnerability to adversarial examples
Implementation of CLM (Constrained Local Model) in C/C++ using OpenCV
Clockwork Convnets for Video Semantic Segmenation
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
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.