Author: Deep Learner

Fetching

Thinky nature dots with python

Welcome to my rice dotfiles of my ThinkPad X230 You surely will need to change some configs to fit your files and stuff and maybe tweak the icons on polybar so be ready to do that. Most of the other things should be self explanatory. Screenshot may have slightly other colors than the screenshot ^^ Dependencies Fonts FiraCode Nerd Font Material Design Icons FontAwesome Software Window Manager: i3-radius/gaps Editor: neovim Fetch: fet.sh Application Menu: rofi Notifications: dunst Top Bar: polybar […]

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mapping

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Introduction Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not    

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 93: Notes from EMNLP 2021

Another big NLP conference is over and here are my notes about the paper that I liked the most. My general impression was sort of similar to what I got from ACL this year. It seems to me that the field is progressing towards some behavioral understanding of what the neural models do, which allows doing some cool tricks that it was hardly possible to think of, only a few years ago. Excellent examples are tricks with adapters or non-parametric […]

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Uncategorized Leave a comment

SynapseML: A simple, multilingual, and massively parallel machine learning library

Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building production-ready distributed ML pipelines can be difficult, even for the most seasoned developer. Composing tools from different ecosystems often requires considerable “glue” code, and many frameworks aren’t designed with thousand-machine elastic clusters in mind. SynapseML resolves this challenge by unifying several existing ML frameworks and new Microsoft algorithms in a single,  

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Python

Python News: What’s New From October 2021?

New versions of Python are now released annually. We can look forward to the core developers sharing a lovely goody bag with the rest of us every October. With Python 3.10, which came out of beta on October 4th, everyone had something exciting to anticipate. Each release of Python has a release manager who’s responsible for coordinating all changes and for building and preparing the files for distribution. The release manager for Python 3.10 and 3.11 is Pablo Galindo Salgado. […]

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Facebook NLP Research
NLP

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Abstract One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users’ commands, a task trivial for humans due to their common sense. In this paper, we propose a zero-shot commonsense reasoning system for conversational agents in an attempt to achieve this. Our reasoner uncovers unstated presumptions from user commands satisfying a general template of if-(state ), then-(action ), because-(goal ). Our reasoner uses a state-of-the-art transformer-based generative commonsense knowledge base (KB) as […]

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Facebook NLP Research
NLP

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Abstract Recent advances in self-supervised learning have dramatically improved the state of the art on a wide variety of tasks. However, research in language model pre-training has mostly focused on natural languages, and it is unclear whether models like BERT and its variants provide the best pre-training when applied to other modalities, such as source code. In this paper, we introduce a new pre-training objective, DOBF, that leverages the structural aspect of programming languages and pre-trains a model to recover […]

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Real Time

YolactEdge: Real-time Instance Segmentation on the Edge

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Transformer

Pyramid Vision Transformer With Python

(2020/06/21) Code of PVTv2 is released! PVTv2 largely improves PVTv1 and works better than Swin Transformer with ImageNet-1K pre-training. The image is from Transformers: Revenge of the Fallen. This repository contains the official implementation of PVTv1 & PVTv2 in image classification, object detection, and semantic segmentation tasks. Model Zoo Image Classification Classification configs & weights see >>>here

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