People log into different sites every day to get information and browse through these sites one by one

Last update: Feb 17, 2022

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People log into different sites every day to get information and browse through these sites one by one. And they are exposed to advertisements on these sites, it is now very difficult to access information directly. On the other hand, they follow social media pages to get information, but due to the nature of social media, users who enter to look at a news one favors other posts and a waste of time occurs. This is a huge waste of time. The project is trying to avoid wasting time.

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GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

129 Dec 30, 2022

A curated list of awesome Model-Based RL resources

Awesome Model-Based Reinforcement Learning This is a collection of research papers for model-based reinforcement learning (mbrl). And the repository w

427 Jan 03, 2023

This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).

MoEBERT This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022). Installation Create an

34 Dec 24, 2022

For storing the complete exploration of Visual Question Answering for our B.Tech Project

Multi-Image vqa @authors: Akhilesh, Janhavi, Harsh Paper summary, Ideas tried and their corresponding results: on wiki Other discussions: on discussio

3 Jun 16, 2022

The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis (NeurIPS 2021) Project Page | Paper Xudong Xu, Xingang Pan, Dahua Lin and Bo Dai GOF

97 Nov 10, 2022

A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning

Orchard Dataset This repository contains the code used for generating the Orchard Dataset, as seen in the Multi-Hierarchical Reasoning in Sequences: S

1 Jun 05, 2022

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Single Node Injection Attack against Graph Neural Networks This repository is our Pytorch implementation of our paper: Single Node Injection Attack ag

18 Nov 21, 2022

Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models

50 Nov 12, 2022

Drslmarkov - Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

1 Nov 24, 2022

PyTorch implementation of Weak-shot Fine-grained Classification via Similarity Transfer

SimTrans-Weak-Shot-Classification This repository contains the official PyTorch implementation of the following paper: Weak-shot Fine-grained Classifi

60 Dec 02, 2022

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110

65 Dec 20, 2022

SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

Project 1: Standardized Test Analysis by Adam Klesc Overview This project covers: Basic statistics and probability Many Python programming concepts Pr

1 Jan 03, 2022

People log into different sites every day to get information and browse through these sites one by one

Related tags

Overview

HyperLink

Owner

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning

A curated list of awesome Model-Based RL resources

This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).

For storing the complete exploration of Visual Question Answering for our B.Tech Project

The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)

A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

Drslmarkov - Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

PyTorch implementation of Weak-shot Fine-grained Classification via Similarity Transfer

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

Privacy-Preserving Portrait Matting [ACM MM-21]

Defending against Model Stealing via Verifying Embedded External Features

3D dataset of humans Manipulating Objects in-the-Wild (MOW)

PyTorch implementation of the Pose Residual Network (PRN)

Classifying audio using Wavelet transform and deep learning

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

Prefix-Tuning: Optimizing Continuous Prompts for Generation

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.