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dropout

Code release for "Dropout Reduces Underfitting"

explanatorygraph

Interpreting CNN Knowledge via an Explanatory Graph

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

few-shot

Repository for few-shot learning machine learning projects

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

few-shot-object-detection

Implementations of few-shot object detection benchmarks

fewshotdatasetdesign

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.

fewshotwithoutforgetting

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

hvt

[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"

hyperstyle

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

image-classification-pytorch

Learning and Building Convolutional Neural Networks using PyTorch

latexify_py

Generates LaTeX math description from Python functions.

libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

m_testing_adversatial_sample

maml-tensorflow-1

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

metaoptnet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

ml-papers-explained

Explanation to key concepts in ML

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

monoscene

MonoScene: Monocular 3D Semantic Scene Completion. CVPR 2022

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

ordinal-pooling-layers

pair-wise-similarity-module

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-classification

Classification with PyTorch.

pytorch-handbook

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

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-stl10