nishantt007 Goto Github PK
Name: Nishant Singh
Type: User
Company: Sardar Vallabhbhai National Institute of Technology, Surat
Bio: NIT Surat | CSE minors | EE majors | Data Science enthusiast
Location: Surat, India
Name: Nishant Singh
Type: User
Company: Sardar Vallabhbhai National Institute of Technology, Surat
Bio: NIT Surat | CSE minors | EE majors | Data Science enthusiast
Location: Surat, India
[ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
A Deep Learning model for California housing dataset using Functional API with Wide & Deep neural network architecture along with ModelCheckpoint and EarlyStopping callbacks.
This Machine Learning model deals with Exploratory Data Analysis (EDA) for the prediction of housing prices in California. Custom transformation is performed for explicit cleaning of the data and feature extractions. Different regressor models are applied and evaluated using cross-validation scores, and are fine-tuned using Grid Search.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This is a Python based voice assisstant built using Microsoft Sapi5 which performs tasks when active. It can respond to queries using Google Search, Wikipedia, Stackoverflow and YouTube, and can perform tasks of opening coding IDE, telling time, writing and sending e-mails.
An official PyTorch implementation of the CRIS paper
this is my first DS assignment on COursera
Sequential CNN model build for recognising the clothing object from the given black and white dataset
This is a combined project of python libraries and no-code tools from the ikigai platform to predict the target price for different houses in the Bangalore city, India.
NLP model decodes IMDb reviews from numbers to text, and uses embedding and GRU layers with binary cross-entropy to determine the sentiment behind the review
This is a detailed Machine Learning model comprising of different techniques which learn to recognize hand written digits. The performance for all the techniques are evaluated and compared using different metrics.
This is a Computer Networking based client-server tic-tac-toe game which uses sockets and ports. The game displays 3X3 grid with labels at both ends, and can be played from remote locations. After the final result, the host has the privilege to ask for a rematch which the client may or may not accept.
Streamlit application built to answer questions about Nishant's professional and educational credentials
This repository is for my Github profile
Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
A machine learning project focused on classifying hate speech in tweets. It includes count plots and word clouds for visual analysis, and TfidfVectorizer to transform features. Classification report and confusion matrix output the final results.
This repository employs Yfinance to extract Tesla's historical stock data and then utilizes BeautifulSoup and Selenium to scrape Tesla's quarterly revenue data. After a thorough data cleaning stock prices and revenue are visualized using plotly.
Master the command line, in one page
Self created a time series data, and models comprising of Simple RNN and Multilayered RNN to forecast several time steps and compared them
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.