Ngrover24198's starred repositories
transformers
đŸ¤— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
awesome-elasticsearch
A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
fastformers
FastFormers - highly efficient transformer models for NLU
indicnlp_catalog
A collaborative catalog of NLP resources for Indic languages
open-covid-19-data
Open source aggregation pipeline for public COVID-19 data, including hospitalization/ICU/ventilator numbers for many countries.
twitter-topics
Python code for detecting topics/events from a Twitter stream
multiple-camera-stream
Multiple Camera CCTV/RTSP/Video Streaming with Flask and OpenCV
covid19_unique_tweets
An on-going dataset consisting of hashtags, n-gram counts and other misc NLP things for covid-19 analysis, stemming from over 100 000 000 tweets collected since mid-January 2020.
bert-sentiment-analysis
This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Activision titles on social media data. In this project, we aim to predict sentiment on Reddit data.
Tutorial-using-Amazon-AWS-EC2-run-scripts-GitHub
Tutorial: using Amazon AWS EC2 to run scripts from a GitHub repo
COVID19-Twitter-Analysis
Using the Python programming language, we were able to research and analyze the Twitter dataset to figure out the effects COVID-19 has had globally. Our goal is to dive deep into the use of coronavirus related hashtags, including their frequency of use, and to analyze the impact of positive, negative, sentimental and neutral tweets on social media regarding COVID-19. We will also view the activity level of COVID-19 related tweets from the verified accounts on social media since they have the ability to utilize their platform to spread awareness of social distancing and ‘stay-at-home’ measures. Utilizing both quantitative and qualitative methodologies with our research will help to guide further in-depth exploration of how to take advantage of recent advancements.
4g-covid19-challenge
Twitter Sentiment Analysis
Preprocessing_and_Analysis
Preprocessing and Analysis of the data scraped for Zapytaj for #sexedPL challenge.
Big-Video-Concatenator
There are situations in CV or in real life where we have multiple videos which we want to get appended into ONE and as the size of those are too big or there are more than 2 videos for concatination. This Is Code For BIG Videos Tested For 90+ Mins