blitzapurv Goto Github PK
Name: Apurva Singh
Type: User
Bio: I am a Data Scientist and I like solving problems using machine learning.
Location: Hyderabad, India
Name: Apurva Singh
Type: User
Bio: I am a Data Scientist and I like solving problems using machine learning.
Location: Hyderabad, India
Finetuning distilBERT for a classification task and Inferring it on browser.
Predicting bike sharing demand for BoomBikes
Identifying Blood Cell Subtypes From Images
Using CycleGAN to translate the style of one MRI image to another
Identifying Lung Problem/Ailment from Chest X-ray images.
Clustering NBA Players Based on Performance
Customer Segmentation using kmeans, hc, dbscan and gmm
Exporting data directly from email to google bigquery table.
Fine-tuning ArcFace model for face verification
A Deep Learning based approach to classify human gestures for smart appliances.
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
House Price Prediction
Hypothesis testing on NBA player performance
Training and Detecting Objects with YOLO3
Improving the lead conversion rate of X-Education
Object Detection using Keras, YOLO V3, Docker and Streamlit
Identifying the type of disease present in paddy by looking at leaf images.
A conversational chatbot using Langchain's ConversationalRetrievalChain for efficient chat-history-aware and context-aware interactions.
Open-book Abstractive Question Answering system using DPR and OpenAI
Analyzing IMDB dataset for RSVP movies case study.
Social ad campaign optimisation.
Categorizing Product reviews in appropriate categories.
Recommender system pipeline based on Collaborative Filtering
Multiclass classification model using a custom convolutional neural network in Keras.
Backtesting trading strategies and identifying buying and selling regions using pure mathematical models and ML models.
Telecom Churn Prediction
Get P/L and other analysis from trades and investments.
Cyclone Preheater Abnormality Study
Virtual Football match simulation using ML, with dynamic markets and winning odds.
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.