Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection".

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Deep LearningA2S-USOD
Overview
A lossless neural compression framework built on top of JAX.

Kompressor Branch CI Coverage main (active) main development A neural compression framework built on top of JAX. Install setup.py assumes a compatible

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Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022

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SIMULEVAL A General Evaluation Toolkit for Simultaneous Translation

SimulEval SimulEval is a general evaluation framework for simultaneous translation on text and speech. Requirement python = 3.7.0 Installation git cl

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Trading Strategies for Freqtrade

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Safe Bayesian Optimization

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Character-Input - Create a program that asks the user to enter their name and their age

Character-Input Create a program that asks the user to enter their name and thei

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Self-describing JSON-RPC services made easy

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π-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

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375 Dec 31, 2022
Privacy-Preserving Machine Learning (PPML) Tutorial Presented at PyConDE 2022

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Fast and robust certifiable relative pose estimation

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Benchmarking the robustness of Spatial-Temporal Models

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DCGAN LSGAN WGAN-GP DRAGAN PyTorch

Recommendation Our GAN based work for facial attribute editing - AttGAN. News 8 April 2019: We re-implement these GANs by Tensorflow 2! The old versio

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Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

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[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

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SLAMP: Stochastic Latent Appearance and Motion Prediction

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This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021

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A stable algorithm for GAN training

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195 Oct 10, 2022
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

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A Deep Reinforcement Learning Framework for Stock Market Trading

DQN-Trading This is a framework based on deep reinforcement learning for stock market trading. This project is the implementation code for the two pap

61 Jan 01, 2023