jwhao

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

CaFo

[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

ConstellationNet

(ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning

CrossTransformers-PyTorch

PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"

CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

jwhao/annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

jwhao/CaFo

[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

jwhao/CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

jwhao/ConstellationNet

(ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning

jwhao/CrossTransformers-PyTorch

PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"

jwhao/CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

jwhao/Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

jwhao/easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

jwhao/facebook_mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

jwhao/FCT

Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'

jwhao/few-shot-ctm

Few shot learning

jwhao/FewShotWithoutForgetting

jwhao/FRN

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

jwhao/JustForTest

learn how to create respository

jwhao/ml-visuals

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

jwhao/Train_Custom_Dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

jwhao/yolov4-tiny-pytorch

这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。

jwhao/few-shot-vit

vit for few-shot classification

jwhao/FewTURE

Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]

jwhao/grad-cam

[ICCV 2017] Torch code for Grad-CAM

jwhao/HCTransformers

jwhao/ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

jwhao/LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning.

jwhao/MAE_fsl

use mae code to do fsl task

jwhao/pmf_cvpr22

jwhao/pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

jwhao/renet

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

jwhao/simple_shot

jwhao/sslprotonet

Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"

jwhao/vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119