PIzza_Order_Assistant
Introduction
An automated program that helps customers of Pizza Palour place their pizza orders. The program uses voice commands. In the background, the program uses IBM Watson's Deep Learning API.
This repository provides a library for efficient training of masked language models (MLM), built with fairseq. We fork fairseq to give researchers mor
vec2word Semi-automated vocabulary generation from semantic vector models This script generates a list of potential conlang word forms along with asso
beyond masking Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers The code is coming Figure 1: Pipeline of token-based pre-
Multilabel time series classification with LSTM Tensorflow implementation of model discussed in the following paper: Learning to Diagnose with LSTM Re
Installation Download miniconda3 if not already installed You can check by running typing conda in command prompt. Use conda to create an environment
โจ ์๊ฐ์ฅ์ ์ธ์ ์ํ ๋ฒ์ค๋์ฐฉ ์๋ฆผ ์ฅ์น โจ ๐ ๊ฐ์ ํ๋ ์ฌํ์์ ๋์ค๊ตํต ์์น ์ ๋ณด๋ฅผ ์ด์ฉํ์ฌ ์ฌ๋๋ค์ด ๊ฐ๋จํ๊ฒ ์ด์ฉํ ๋์ค๊ตํต์ ์ ๋ณด๋ฅผ ์ป๊ณ ์ฝ๊ฒ ๋์ค๊ตํต์ ์ด์ฉํ ์ ์๋ค. ํด๋น ์ ๋ณด๋ ๊ฐ์ข ์ดํ๋ฆฌ์ผ์ด์ ๊ณผ ๋์ค๊ตํต ์ด์ฉ์์ค์์ ์์น ์ ๋ณด๋ฅผ ์ ๊ณตํ๊ณ ์์ง๋ง ์๊ฐ
This is a fork of Fairseq(-py) with implementations of the following models: Pervasive Attention - 2D Convolutional Neural Networks for Sequence-to-Se
Persian NLP Benchmark The repository aims to track existing natural language processing models and evaluate their performance on well-known datasets.
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod
DensePhrases provides answers to your natural language questions from the entire Wikipedia in real-time. While it efficiently searches the answers out of 60 billion phrases in Wikipedia, it is also v
Ultra_Fast_Lane_Detection_TensorRT An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for in
This repository contains 20 annotated datasets of Automatic Keyphrase Extraction made available by the research community. Following are the datasets and the original papers that proposed them. If yo
I label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive. Obstacles like sentence negation, sarcasm, terseness, language ambiguity, and many others
Routing Transformer A fully featured implementation of Routing Transformer. The paper proposes using k-means to route similar queries / keys into the
The implementation of paper CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CLIP4Clip is a video-text retrieval model based
Basic-UI-for-GPT-J-6B-with-low-vram A repository to run GPT-J-6B on low vram systems by using both ram, vram and pinned memory. There seem to be some
Stanford CoreNLP Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and giv
Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars
ja-timex ่ช็ถ่จ่ชใงๆธใใใๆ้ๆ ๅ ฑ่กจ็พใๆฝๅบ/่ฆๆ ผๅใใใซใผใซใใผในใฎ่งฃๆๅจ ๆฆ่ฆ ja-timex ใฏใ็พไปฃๆฅๆฌ่ชใงๆธใใใ่ช็ถๆใซๅซใพใใๆ้ๆ ๅ ฑ่กจ็พใๆฝๅบใTIMEX3ใจๅผใฐใใใขใใใผใทใงใณไปๆงใซๅคๆใใใใจใงใใใญใฐใฉใ ใๅฉ็จใงใใใใใชๅฝขใซ่ฆๆ ผๅใใใซใผใซใใผในใฎ่งฃๆๅจใงใใ
Large Models of Source Code I occasionally train and publicly release large neural language models on programs, including PolyCoder. Here, I describe