Stars
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
A SQLAlchemy Integration for strawberry-graphql
A GraphQL library for Python that leverages type annotations 🍓
Simple and powerful factories for mock data generation
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
YOLOv11 trained on DocLayNet dataset.
Qdrant Vector Database on Azure Cloud
LlamBERT implements a hybrid approach approach for text classification that leverages LLMs to annotate a small subset of large, unlabeled databases and uses the results for fine-tuning transformer …
Clustering with maximum diameter (maximum distance between points inside clusters).
Lightweight Json view component for React
Pure-Python Server Side Events (SSE) client
Make Prettier organize your imports using the TypeScript language service API.
VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.
Running AWS Lambda Functions on Knative/Kubernetes Clusters
Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)
Sentiment analysis and argumentation mining in UNSC Speeches
Open-source vector similarity search for Postgres
BanditPAM C++ implementation and Python package
A standard framework for modelling Deep Learning Models for tabular data
PyDynamoDB is a Python DB API 2.0 (PEP 249) client for Amazon DynamoDB. A SQLAlchemy dialect is offered as well. Superset official database driver.
Convert number to a human readable string: `13500` → `13.5K`
Distribution of weighted items to bins (either a fixed number of bins or a fixed number of volume per bin). Data may be in form of list, dictionary, list of tuples or csv-file.
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
React typeahead with Bootstrap styling