Learning What To Do by Simulating the Past

Learning What To Do by Simulating the Past This repository contains code that implements the Deep Reward Learning by Simulating the Past (Deep RSLP) algorithm introduced in the paper “Learning What To Do by Simulating the Past”. This code is provided as is, and will not be maintained. Here we describe how to reproduce the experimental results reported in the paper. You can find video of policies trained with Deep RLSP here. Citation David Lindner, Rohin Shah, Pieter Abbeel, Anca […]

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Towards High-Quality Instance Segmentation with Fine-Grained Features

Towards High-Quality Instance Segmentation with Fine-Grained Features This repo is the official implementation of RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. Main Results Results on COCO Method Backbone Schedule AP AP* Checkpoint Mask R-CNN R50-FPN 1x 34.7 36.8 RefineMask R50-FPN 1x 37.3 40.6 download Mask R-CNN R50-FPN 2x 35.4 37.7 RefineMask R50-FPN 2x 37.8 41.2 download Mask R-CNN R101-FPN 1x 36.1 38.4 RefineMask R101-FPN 1x 38.6 41.8 download Mask R-CNN R101-FPN 2x 36.6 39.3 RefineMask R101-FPN 2x 39.0 42.4 […]

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Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

BRNet Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds, CVPR 2021. Authors: Bowen Cheng, Lu Sheng*, Shaoshuai Shi, Ming Yang, Dong Xu (*corresponding author) [arxiv] In this repository, we reimplement BRNet based on mmdetection3d for easier usage. Citation If you find our work useful in your research, please consider citing: @inproceedings{cheng2021brnet, title={Back-tracing Representative Points for […]

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SMPLicit: Topology-aware Generative Model for Clothed People

SMPLicit Implementation for the paper SMPLicit: Topology-aware Generative Model for Clothed People (CVPR 2021) Installation Follow these commands to install SMPLicit in your environment. The required libraries are standard, with the possible exception of Kaolin which requires a particular version to run with the current code. git clonehttps://github.com/enriccorona/SMPLicit cd SMPLicit Install the dependencies listed in requirements.txt: pip install -r requirements.txt In particular, we use Kaolin v0.1 (see installation command) which should be easy to install. However, if you want to […]

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Datasets from Instructions In Python

Datasets from Instructions This repository contains the code for Generating Datasets with Pretrained Language Models. The paper introduces a method called Datasets from Instructions (DINO sauropod) that enables pretrained language models to generate entire datasets from scratch. 🔧 Setup All requirements for DINO can be found in requirements.txt. You can install all required packages in a new environment with pip install -r requirements.txt. 💬 CLI Usage Single Texts To generate datasets for (single) text classification, you can use DINO as […]

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A fully automated system that transforms Twitch clips into gaming compilations

TwitchCompilationCreator A fully automated system that transforms Twitch clips into gaming compilations Authors: Christian C., Moritz M., Luca S. About This is our approach of automatically creating compilations of twitch clips (focused on gaming).We are very interested in YouTube, Twitch and Programming so we started this as an experiment, now a few months later we have to say it worked! What did we achieve? We automatically uploaded over 100 videos to our YouTube channel without any human interaction One video […]

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A Python tool to check if there is an Office 365 instance linked to a domain

o365chk.py Simple Python script to check if there is an Office365 instance linked to a particular domain. There are three possible results: Unknown = No O365 instance for that domainFederated = O365 is federatedManaged = O365 is managed directly by Microsoft Installation and Usage $ git clone https://github.com/nixintel/o365chk && cd o365chk $ pip install -r requirements.txt $ python3 o365chk.py -d example.com Example Output $ python3 o365chk.py -d bbc.co.uk This domain is Federated { “AuthNForwardType”: 1, “AuthURL”: “https://gateway.id.tools.bbc.co.uk/eiam/WSFederationServlet/metaAlias/wsidp2?username=username%40bbc.co.uk&wa=wsignin1.0&wtrealm=urn%3afederation%3aMicrosoftOnline&wctx=”, “CloudInstanceIssuerUri”: “urn:federation:MicrosoftOnline”, “CloudInstanceName”: […]

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An OSINT tool that allows you to find potential profiles of a person on social networks

Profil3r Profil3r is an OSINT tool that allows you to find potential profiles of a person on social networks, as well as their email addresses. This program also alerts you to the presence of a data leak for the found emails. Installation Install with pip (recommended) pip3 install profil3r Or build from source Recommended for developers. It automatically clones the main branch from the Profil3r repo, and installs from source. # Automatically clone the Profil3r repository and install profil3r from […]

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notebookJS: seamless JavaScript integration in Python Notebooks

notebookJS notebookJS enables the execution of custom JavaScript code in Python Notebooks (Jupyter Notebook and Google Colab). This Python library can be useful for implementing and reusing interactive Data Visualizations in the Notebook environment. notebookJS takes care of downloading and handling Javascript libraries and CSS stylesheets from the web. Furthermore, it supports bidirectional communication between Python and JavaScript. User interactions in HTML/JavaScript can trigger Python callbacks that process data on demand and send the results back to the front-end code. […]

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Malawi News Classification -An NLP Project

Classifying Malawi News articles into 19 different classes using SMOTE and SGDClassifier. Introduction Text classification is common among the application that we use on daily basis. For example, email providers use text classification to filter out spam emails from your inbox. The other most common use of text classification is in customer care where they use sentimental analysis to differentiate bad reviews from good reviews ADDI AI 2050. The modern use of text classification list goes on as we have excelled to […]

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