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The Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
Code release for "Dropout Reduces Underfitting"
Interpreting CNN Knowledge via an Explanatory Graph
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Repository for few-shot learning machine learning projects
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Implementations of few-shot object detection benchmarks
The paper studies the problem of learning to recognize a new class of objects from a very small number of labeled images. This is called few-shot learning. Previous work in the literature focused on designing new algorithms that allow to learn to generalize to new unseen classes.In this work, we consider the impact of the dataset that we train on, and experiment with some dataset manipulations to see which trade-offs are important in the design of a dataset aimed at few-shot learning.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Learning and Building Convolutional Neural Networks using PyTorch
Generates LaTeX math description from Python functions.
LibFewShot: A Comprehensive Library for Few-shot Learning.
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Explanation to key concepts in ML
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
MonoScene: Monocular 3D Semantic Scene Completion. CVPR 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Tensors and Dynamic neural networks in Python with strong GPU acceleration
95.47% on CIFAR10 with PyTorch
Classification with PyTorch.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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.