-
## **`dyPixa` and ML Models** 🤖
This project relies heavily on creating, deploying, and utilizing various machine learning models, primarily for:
1. NLP Analysis đź“ť
2. Color Recommendations (sup…
-
In my opinion this is the crown jewel lab of the whole NLP course of the Machine Learning Engineer learning path. The CSB (Cloud Skills Boost) lab is titled simply "Encoder decoder" (https://www.cloud…
-
## What / Why
### What are we building?
The ML-Commons plugin allows user to upload deep learning models and use them to make inference.
### Why are we building it?
In many domains like…
-
This part involves
1. researching and extracting stop words for example
```[“document”, “story”, “machine translation”, “translation”, “figure”] -> [“machine translation”]```, performing NLP analy…
-
Please add a page with the list of workshops:
```
TSAR Workshop on Text Simplification, Accessibility, and Readability
WANLP The Seventh Arabic Natural Language Processing Workshop
FinNLP The Fo…
-
Some big fuzzy words about Machine Learning, Blockchain and NLP here.
-
https://www.kaggle.com/c/word2vec-nlp-tutorial
:warning: folder C:\Users\igor-z\AppData\Roaming\nltk_data > 3.7GB
NLTK: https://towardsdatascience.com/machine-learning-nlp-text-classification-us…
-
**Name**
Ashwin Phadke
**Skillset**
Python, C++, NLTK, NLP, OpenCV, Vision toolkit, AWS, GCP, SQL and all the tech stack that goes for deep learning/machine learning.
**Short Bio**
I am comp…
-
**#searchEngine**
import os
import nltk
import string
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# S…
-
# [Paper Review] Bahdanau Attention (2014) | woodong's log
Neural machine translation by jointly learning to align and translate (2014) 논문 리뷰 Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machin…