dineshssdn-867
Python Lover, interested in backend development. ML/Dl Enthusiast.A strong believer of ambition in mind.
India
Pinned Repositories
A-Web-Car-Showroom-UI
This is a UI of car brand name Tesla with a few additions.
AI_Shakespeare
The research shows that one of the most effective artificial neural network types for Natural Language Processing tasks is Recurrent Neural Networks (RNNs). RNNs are widely used in NLP tasks such as machine translation, text generation, image captioning. In NLP tasks, we usually use NLP tools and methods to process the text data into vectors and then feed them into a selected artificial neural network such as RNN, CNN, or even a feedforward neural network to complete a task.
Anomaly-Detection-CVPR2018
Anomaly Detection System is defined as a real-time surveillance program designed to automatically detect and account for the signs of offensive or disruptive activities immediately.
Blog
Hello there Infinity believes in exploring many aspects through a medium of blogs. It is a platform where a writer or a group of writers share their views on many aspects.
Cryptography
Although there are different methods to encrypt and decrypt messages, we'll focus on a linear algebra-based cipher, the Hill cipher, which uses a matrix as a cipher to encode a message or an image, and it's extremely difficult to break when a large matrix is used.
dineshssdn-867
Events
Eventa is the coordinated effort behind planning, organizing, and executing various events or features. This includes weddings, corporate meetings, fundraisers, sporting events, fashion shows, and much more. Event management companies can help you organise a number of different special events that your organisation may be interested in hosting.
Neural-Style-Transfer-Web-App
Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image. This is implemented by optimizing the output image to match the content statistics of the content image and the style statistics of the style reference image. These statistics are extracted from the images using a convolutional network.
Probabilistic-model-for-any-psychiatric-dieaese
This model can be used to find how many genes are involved in psychiatric disease. To verify the model we have taken the example of schizophrenia.
Sentiment_analysis_of_youtubers_webapp
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. So, in this application, we are asking a YouTuber to enter the channel id and a particular timeline. By using the channel id and timeline we are performing sentiment analysis on his videos by fetching the subtitles of their videos in a particular timeline given by the YouTuber.Basically performing intent and emotion classification on his video subtitles. To know how the model was made please check the repository. Link: https://github.com/dineshssdn-867/Sentiment-analysis-of-youtubers. Don't Forget to star mark it.
dineshssdn-867's Repositories
dineshssdn-867/Anomaly-Detection-CVPR2018
Anomaly Detection System is defined as a real-time surveillance program designed to automatically detect and account for the signs of offensive or disruptive activities immediately.
dineshssdn-867/Sentiment_analysis_of_youtubers_webapp
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. So, in this application, we are asking a YouTuber to enter the channel id and a particular timeline. By using the channel id and timeline we are performing sentiment analysis on his videos by fetching the subtitles of their videos in a particular timeline given by the YouTuber.Basically performing intent and emotion classification on his video subtitles. To know how the model was made please check the repository. Link: https://github.com/dineshssdn-867/Sentiment-analysis-of-youtubers. Don't Forget to star mark it.
dineshssdn-867/Blog
Hello there Infinity believes in exploring many aspects through a medium of blogs. It is a platform where a writer or a group of writers share their views on many aspects.
dineshssdn-867/2018.fossasia.org
FOSSASIA Summit 2018 https://2018.fossasia.org
dineshssdn-867/Data-entry-portal
This form is created for the firm which are willing to make ids of a for their people or people working in their. This forms basically deals with form data and take care abouts the duplications and tries to avoid errors using external messanging services like twillo which will notify users about the data which will avoid errors and this information will be further used for id prints.
dineshssdn-867/Events
Eventa is the coordinated effort behind planning, organizing, and executing various events or features. This includes weddings, corporate meetings, fundraisers, sporting events, fashion shows, and much more. Event management companies can help you organise a number of different special events that your organisation may be interested in hosting.
dineshssdn-867/Mental-Health-App
This is a mental health app which is working as psychologist/counsellor and it also helps to predict mental health score.
dineshssdn-867/Song-hearing-platform
This is a responsive spotify clone.You can use this app to hear your favourites and enjoy.
dineshssdn-867/alze_disease
alze_disease
dineshssdn-867/Neural-Style-Transfer-Web-App
Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image. This is implemented by optimizing the output image to match the content statistics of the content image and the style statistics of the style reference image. These statistics are extracted from the images using a convolutional network.
dineshssdn-867/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
dineshssdn-867/Books-
Books for Data Science
dineshssdn-867/CN_PROJECT
This is CN Project
dineshssdn-867/Content_moderation
Moderating content using vision and text
dineshssdn-867/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
dineshssdn-867/django-pwa
Looks like an app, feels like an app, but IS NOT an app.
dineshssdn-867/Doogle
This is a search which works exactly same as google.
dineshssdn-867/farm.ai
dineshssdn-867/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
dineshssdn-867/Mathematica_3d_models_lab
This is a
dineshssdn-867/Object_Detection_Segmentation_from_scratch
This has a implementation of Object detection algorithms from scratch
dineshssdn-867/optimize-electricity
This is the app for electricity optimization
dineshssdn-867/PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
dineshssdn-867/remote-jobs
A list of semi to fully remote-friendly companies (jobs) in tech.
dineshssdn-867/tap-datadog
ETL to get data from Datadog
dineshssdn-867/tf-pose-estimation
Hey! This is a clone of the tf-pose-estimation by Ildoo Kim modified to work with Tensorflow 2.0+!
dineshssdn-867/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
dineshssdn-867/tutorless
This is a tutorless AI
dineshssdn-867/Vehicle_FLask_APP
Flask APP
dineshssdn-867/videocr
Extract hardcoded subtitles from videos using machine learning