CassieMai's repositories

Brancher

A python library for stochastic variational inference and differentiable probabilistic programming

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CAGrad

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

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cassiemai.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

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cassiemai2.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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CoMatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

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ContrastiveSeg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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CVPR2022-Papers-with-Code

CVPR 2022 论文和开源项目合集

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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EPOSearch

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

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git-tips

:trollface:Git的奇技淫巧

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google-research

Google Research

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Gpuspline

Software library for the calculation of multidimensional cubic splines

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grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

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IRAST

This is the code for the ECCV2020 paper "Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks"

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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Lion-vs-Adam

Lion and Adam optimization comparison

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mean-teacher

A state-of-the-art semi-supervised method for image recognition

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Non-Local-NN-Pytorch

PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

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Object-Detection-Train-Test-Split

When you have image data and corresponding xml files, this script will help in splitting the data in two folders - train and test -

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sr-gan

Semi-supervised Regression GAN

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SUA_crowd_counting

ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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U-MVS

Official code for ICCV paper "Digging into Uncertainty in Self-supervised Multi-view Stereo"

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UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

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Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

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Visualizer

assistant tools for attention visualization in deep learning

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