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paw-segmentation
🐾
Paw Segmentation
🐾 Semantic segmentation of paws from cute pet images (PyTorch)
Overview
Owner
Zabir Al Nazi Nabil
./algorist | machine learning engineer | sci-fi connoisseur
Code for the paper Hybrid Spectrogram and Waveform Source Separation
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An example of Scatterbrain implementation (combining local attention and Performer)
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EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
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This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.
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Pretrained models for Jax/Haiku; MobileNet, ResNet, VGG, Xception.
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Repository for the Bias Benchmark for QA dataset.
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HybVIO visual-inertial odometry and SLAM system
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Efficient face emotion recognition in photos and videos
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239 Jan 04, 2023
A framework to train language models to learn invariant representations.
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6 Nov 16, 2022
DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation
DFFNet Paper DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation. Xiangyan Tang, Wenxuan Tu, Keqiu Li, J
4 Sep 23, 2022
Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions"
ModelNet-C Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions". For the latest updates, see: sites.google.com
45 Dec 28, 2022
Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service
Black-Box-Tuning Source code for paper "Black-Box Tuning for Language-Model-as-a
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Distributional Sliced-Wasserstein distance code
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Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer This repo contains the official implementation of our paper: AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecast
161 Dec 23, 2022
FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation
FCN_via_Keras FCN FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This
48 Aug 30, 2022
Mall-Customers-Segmentation - Customer Segmentation Using K-Means Clustering
Overview Customer Segmentation is one the most important applications of unsupervised learning. Using clustering techniques, companies can identify th
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SeqTR: A Simple yet Universal Network for Visual Grounding
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Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.
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RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems
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10 Oct 16, 2022
CPU inference engine that delivers unprecedented performance for sparse models
The DeepSparse Engine is a CPU runtime that delivers unprecedented performance by taking advantage of natural sparsity within neural networks to reduce compute required as well as accelerate memory b
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