Make scripted visualizations in blender with python

Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring together blender’s powerful visualization toolkit with Anaconda’s scientific computing and package management capabilities. For example, the code in ./apps/concepts/fourier_signal_composition.py was used to generate the following visualization. Acknowledgments All the wonderful people that make open source software Inspiration – 3blue1brown’s videos and pedagogical clarity Setup instructions These are detailed instructions that worked for me on a windows […]

April 13, 2021 Machine Learning

Make Telegram group call with MTProto Api using Pyrogram and WebRTC

PyTgCalls This project allow to make Telegram group call with MTProto Api using Pyrogram and WebRTC, this is possible thanks to the power of NodeJS’s WebRTC library, socketio-client and @evgeny-nadymov Problem with pyrogram? If do you have problems with pyrogram, reinstall by this command pip install git+https://github.com/pyrogram/pyrogram -U Live stream or ffmpeg live conversion stopped? Check before if is changing the size of file(Is a method to check if ffmpeg is alive). If is alive and stream is stopped, report […]

April 13, 2021 Robot

A powerful Python 3 wrapper for the Roblox Web API

ro.py ro.py is an object oriented, asynchronous wrapper for the Roblox Web API (and other Roblox-related APIs) with many new and interesting features. ro.py allows you to automate much of what you would do on the Roblox website and on other Roblox-related websites. Update: ro.py rewrite We are currently working on a complete ro.py rewrite, and as such we are not accepting feature requests until the rewrite branch is on par with the main branch.If you’d like to give suggestions […]

April 13, 2021 Python

Start Managing Multiple Python Versions With pyenv

Have you ever wanted to contribute to a project that supports multiple versions of Python but aren’t sure how you would easily test all the versions? Are you ever curious about the latest and greatest versions of Python? Maybe you’d like to try out these new features, but you don’t want to worry about messing up your development environment. Luckily, managing multiple versions of Python doesn’t have to be confusing if you use pyenv. This course will provide you with […]

April 12, 2021 Python

Start Contributing to Python: Your First Steps

If you want to start contributing to open source, then Python is a great project to start with. You’ll not only be making your mark on one of the biggest projects out there, but you’ll also be doing it as part of a vibrant and welcoming community. Open source projects rely on contributions from volunteers like you to grow and evolve, so you’ll be making a real difference to the future of open source software. On top of that, contributing […]

April 12, 2021 Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 74: Architectrues we will hear about in MT

This week, I would like to feature three recent papers with innovations in neural architectures that I think might become important in MT and multilingual NLP during the next year. But of course, I might be wrong, in MT Weekly 27, I self-assuredly claimed that the Reformer architecture will start an era of much larger models than we have now and will turn the attention of the community towards document-level problems and it seems it is not happening. CANINE: Tokenization-free […]

April 12, 2021 Machine Learning, NLP

Implementation of Repurposing GANs for One-shot Semantic Part Segmentation

Repurposing GANs A minimal implementation of Repurposing GANs for One-shot Semantic Part Segmentation. w/ interactive jupyter notebook labelling tool One-Shot Segmentation Results from CNN-S trained for 100 steps with a single annotated image label_sample One-Shot SegmentationResults from CNN-S trained for 100 steps with a single annotated image

April 12, 2021 Machine Learning, NLP

Score-Based Generative Modeling through Stochastic Differential Equations

score_sde_pytorch PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral). This repo contains a PyTorch implementation for the paper Score-Based Generative Modeling through Stochastic Differential Equations by Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole What does this code do? Aside from the NCSN++ and DDPM++ models in our paper, this codebase also re-implements many previous score-based models in one place, including NCSN from Generative Modeling by Estimating Gradients of […]

April 12, 2021 Machine Learning, NLP

Code for Multiple Instance Active Learning for Object Detection

MI-AOD This is the code for Multiple Instance Active Learning for Object Detection, CVPR 2021. In this paper, we propose Multiple Instance Active Object Detection (MI-AOD), to select the most informative images for detector training by observing instance-level uncertainty. MI-AOD defines an instance uncertainty learning module, which leverages the discrepancy of two adversarial instance classifiers trained on the labeled set to predict instance uncertainty of the unlabeled set. MI-AOD treats unlabeled images as instance bags and feature anchors in images […]

April 12, 2021 Machine Learning, NLP

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

RfD-Net Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias NießnerIn CVPR, 2021. From an incomplete point cloud of a 3D scene (left), our method learns to jointly understand the 3D objects and reconstruct instance meshes as the output (right). Install This implementation uses Python 3.6, Pytorch1.7.1, cudatoolkit 11.0. We recommend to use conda to deploy the environment. conda env create -f environment.yml conda activate rfdnet pip install -r requirements.txt Next, compile the external libraries by python setup.py build_ext –inplace Install PointNet++ […]

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