LiteHRNet Benchmark
Lite-HRNet: A Lightweight High-Resolution Network
Overview
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
PyEMD: Fast EMD for Python PyEMD is a Python wrapper for Ofir Pele and Michael Werman's implementation of the Earth Mover's Distance that allows it to
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Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)
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DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
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[CVPR 2022 Oral] Versatile Multi-Modal Pre-Training for Human-Centric Perception
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Perspective: Julia for Biologists
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[ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
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Code for "Adversarial attack by dropping information." (ICCV 2021)
AdvDrop Code for "AdvDrop: Adversarial Attack to DNNs by Dropping Information(ICCV 2021)." Human can easily recognize visual objects with lost informa
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MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
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TorchMetrics is a collection of 25+ PyTorch metrics implementations and an easy-to-use API to create custom metrics.
Machine learning metrics for distributed, scalable PyTorch applications.
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Workshop Materials Delivered on 28/02/2022
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Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）
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Model Zoo for AI Model Efficiency Toolkit
We provide a collection of popular neural network models and compare their floating point and quantized performance.
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Code for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss"
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Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation
Tiny-NewsRec The source codes for our paper "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation". Requirements PyTorch == 1.6.0 Tensor
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Download & Install mods for your favorit game with a few simple clicks
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PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021.
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A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models with machine learning (NeurIPS 2021 Datasets and Benchmarks Track)
ClimART - A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Official PyTorch Implementation Using deep le
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BridgeGAN - Tensorflow implementation of Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.
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Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
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HyperDict - Self linked dictionary in Python
Hyper Dictionary Advanced python dictionary(hash-table), which can link it-self
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