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PyTorch implementation of Barlow Twins.
Code to train CLIP model
This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A package for decomposing multi-channel EMG signals into individual motor unit activity.
Full-gradient saliency maps
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Code for MOVE: Unsupervised Movable Object Segmentation and Detection; NeurIPS 2022
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Poisson Identifiable VAE (pi-VAE)
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
SmoothGrad implementation in PyTorch
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
[CVPRW'22] Unsupervised Salient Object Detection With Spectral Cluster Voting
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch
GPU Accelerated t-SNE for CUDA with Python bindings
Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
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.