Fernando Julio Cendra (fcendra)

fcendra

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Company:The University of Hong Kong

Location:Hong Kong

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Fernando Julio Cendra's starred repositories

awesome-indonesia-vision-research-conference

A curated list of resources dedicated to research papers published by Indonesians at top international conferences

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pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

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Taming-Stable-Diffusion-with-Human-Ranking-Feedback

This is the official repo for the paper "Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles", Tang et al. https://arxiv.org/abs/2303.03751

Language:Jupyter NotebookLicense:MITStargazers:194Issues:0Issues:0

EnergyBasedClustering

Implementation of Energy Based Clustering

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conceptmod

Modify Concepts from Diffusion Models using a dsl

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erasing

Erasing Concepts from Diffusion Models

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Mix-of-Show

NeurIPS 2023, Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

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WSI-HGNN

[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

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On-the-fly-Category-Discovery

Code release for Your “On-the-fly Category Discovery (CVPR 2023)”

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CVinW_Readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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awesome-Vision-and-Language-Pre-training

Recent Advances in Vision and Language Pre-training (VLP)

License:Apache-2.0Stargazers:280Issues:0Issues:0

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

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PyTorch-DAGMM

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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ACTOR

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

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StableDiffusionReconstruction

Takagi and Nishimoto, CVPR 2023

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MixCo-Mixup-Contrast

(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"

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EECS-498-007-598-005-solutions

EECS 498-007 / 598-005 Deep Learning for Computer Vision

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gale

PyTorch Lightning for Image Classification

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mae_st

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

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Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:344Issues:0Issues:0

SHOT-VAE

The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"

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DiffuseVAE

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

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