Source code for the paper "SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text" PACLIC 2021

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Deep LearningSEPP
Overview
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs

Project Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs, https://arxiv.org/pdf/2111.01940.pdf. Authors Truong Son Hy

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[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

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Residual Pathway Priors for Soft Equivariance Constraints

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Official implementation of Sparse Transformer-based Action Recognition

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A spherical CNN for weather forecasting

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Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

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Tutorials and implementations for "Self-normalizing networks"

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Neural-net-from-scratch - A simple Neural Network from scratch in Python using the Pymathrix library

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Vertex AI: Serverless framework for MLOPs (ESP / ENG)

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Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"

Ziyue Feng 72 Dec 09, 2022
Collection of machine learning related notebooks to share.

ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori

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[NeurIPS 2021 Spotlight] Code for Learning to Compose Visual Relations

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Implementing DropPath/StochasticDepth in PyTorch

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Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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PyTorch module to use OpenFace's nn4.small2.v1.t7 model

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Pete Tae-hoon Kim 176 Dec 12, 2022
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

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Finding Donors for CharityML

Finding-Donors-for-CharityML - Investigated factors that affect the likelihood of charity donations being made based on real census data.

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Structural Constraints on Information Content in Human Brain States

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Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

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Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"

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