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:alarm_clock: AI conference deadline countdowns
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Airline Booking is a sample web application that provides Flight Search, Flight Payment, Flight Booking and Loyalty points including end-to-end testing, GraphQL and CI/CD. This web application was the theme of Build on Serverless Season 2 on AWS Twitch running from April 24th until end of August in 2019.
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
code snippets from my blog
BERT with SentencePiece for Japanese text.
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point or box annotation.
Creating class-based TF-IDF matrices
MIT Deep Learning Book in PDF format
Example on how to build an API which provide document classification service for a "digital safe" or "cloud" app
ECDC Early warning tool using Twitter data
A list of NLP resources focused on event extraction task
A few-shot learning method based on siamese networks.
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Kaggle | Instacart Market Basket Analysisπ₯π₯
Course with a roadmap and notebooks to get into Large Language Models (LLMs).
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Email clustering with machine learning
Labelling platform for text using weak supervision.
Sentiment Analysis - Rule based Classifier
This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A Library for Advanced Deep Time Series Models.
Automatic extraction of relevant features from time series:
Use embeddings to classify text based on categories defined with keywords
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.