Explanatory Learning: Beyond Empiricism in Neural Networks

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GLADIA Research Group
GLADIA Research Group
Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.

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To build a regression model to predict the concrete compressive strength based on the different features in the training data.

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Sinkformers: Transformers with Doubly Stochastic Attention

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Pytorch Implementation of rpautrat/SuperPoint

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source code of Adversarial Feedback Loop Paper

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Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts

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SLAMP: Stochastic Latent Appearance and Motion Prediction

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Kaan Akan 34 Dec 08, 2022
Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

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Jayaku Briliantio 3 Apr 07, 2022
STBP is a way to train SNN with datasets by Backward propagation.

Spiking neural network (SNN), compared with depth neural network (DNN), has faster processing speed, lower energy consumption and more biological interpretability, which is expected to approach Stron

Ling Zhang 18 Dec 09, 2022
An official PyTorch implementation of the TKDE paper "Self-Supervised Graph Representation Learning via Topology Transformations".

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Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

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Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

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Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

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FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

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Command-line tool for downloading and extending the RedCaps dataset.

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Data pipelines for both TensorFlow and PyTorch!

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Implementation of Stochastic Image-to-Video Synthesis using cINNs.

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SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

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