Introspective Distillation (IntroD)
This repository is the Pytorch implementation of our paper "Introspective Distillation for Robust Question Answering" in NeurIPS 2021. The code will be released before the conference.
[NeurIPS 2021] Introspective Distillation for Robust Question Answering
Overview
This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.
AB-TRAP: building invisibility shields to protect network devices The AB-TRAP framework is applicable to the development of Network Intrusion Detectio
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Search Youtube Video and Get Video info
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Official PyTorch implementation of the paper: Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting.
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Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
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PyTorch implementation of DreamerV2 model-based RL algorithm
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Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'
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Self-supervised Label Augmentation via Input Transformations (ICML 2020)
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Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
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Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo
Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock
8 Nov 11, 2022
一个目标检测的通用框架(不需要cuda编译)，支持Yolo全系列(v2~v5)、EfficientDet、RetinaNet、Cascade-RCNN等SOTA网络。
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203 Jan 03, 2023
EigenGAN Tensorflow, EigenGAN: Layer-Wise Eigen-Learning for GANs
Gender Bangs Body Side Pose (Yaw) Lighting Smile Face Shape Lipstick Color Painting Style Pose (Yaw) Pose (Pitch) Zoom & Rotate Flush & Eye Color Mout
321 Dec 01, 2022
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
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268 Jan 07, 2023
Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images
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Code to accompany the paper "Finding Bipartite Components in Hypergraphs", which is published in NeurIPS'21.
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Official Implementation of "Transformers Can Do Bayesian Inference"
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Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.
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A Jinja extension (compatible with Flask and other frameworks) to compile and/or compress your assets.
A Jinja extension (compatible with Flask and other frameworks) to compile and/or compress your assets.
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AlphaNet Improved Training of Supernet with Alpha-Divergence
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Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır
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PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.
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