SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
This repository contains PyTorch models for SpecTr (Spectral Transformer).
SpecTr is a hybrid transformer backbone that can be easily applied to other hyperspectral images. 
This repository contains PyTorch models for SpecTr (Spectral Transformer).
Overview
MINERVA: An out-of-the-box GUI tool for offline deep reinforcement learning
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DetCo: Unsupervised Contrastive Learning for Object Detection
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HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
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i3DMM: Deep Implicit 3D Morphable Model of Human Heads
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60 Jan 03, 2023
Collections for the lasted paper about multi-view clustering methods (papers, codes)
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Codeflare - Scale complex AI/ML pipelines anywhere
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Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks
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794 Dec 31, 2022
An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicity.
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PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
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51 Dec 07, 2022
This project is for a Twitter bot that monitors a bird feeder in my backyard. Any detected birds are identified and posted to Twitter.
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71 Dec 25, 2022
The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.
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Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"
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331 Dec 28, 2022
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