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followers: 61.0 following: 87.0 repos: 252.0 gists: 5.0

Name: Jizong's Fox

Type: User

Company: Ecole de technologie superieure (ETS) @LIVIAETS

Bio: PhD from École de technologie supérieure. I received M.S./B.S./Dip. Ingénieur degrees from Shanghai Jiao Tong University and École Centrale Marseille

Location: Montreal

Jizong's Fox's Projects

learningtopaint icon learningtopaint

A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

lihang icon lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

loguru icon loguru

Python logging made (stupidly) simple

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mbls icon mbls

Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/2111.15430

mcd_da icon mcd_da

Reproducibility of Maximum Classifier Discrepancy for Domain Adaptation with Semantic Segmentation

metaformer icon metaformer

A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”

ml-cvnets icon ml-cvnets

CVNets: A library for training computer vision networks

mpl-pytorch icon mpl-pytorch

Unofficial PyTorch implementation of "Meta Pseudo Labels"

munit icon munit

Multimodal Unsupervised Image-to-Image Translation forked for reproduction. High quality work.

nerfacc icon nerfacc

A General NeRF Acceleration Toolbox in PyTorch.

neumesh icon neumesh

Code for "MeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing", ECCV 2022 Oral

numpydl icon numpydl

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

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