Stars
🎨 Diagram as Code for prototyping cloud system architectures
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
State-of-the-Art Text Embeddings
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Things you can do with the token embeddings of an LLM
Maximize your usage of OpenAI models without hitting rate limits
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
A multi-arch image provides one HTTP proxy endpoint with many concurrent tunnels to the Tor network.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Free tier of Heroku Dynos, Postgres and Data for Redis will no longer be available after November 28, 2022. Let's find a list of services with a free plan that developers can use as an alternative …
Python library for identifying the peaks and valleys of a time series.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
This is a Next.js, Tailwind CSS blogging starter template. Comes out of the box configured with the latest technologies to make technical writing a breeze. Easily configurable and customizable. Per…
Portfolio analytics for quants, written in Python
OCR, layout analysis, reading order, table recognition in 90+ languages
pyauth / pyotp
Forked from mdp/rotpPython One-Time Password Library
Understanding Deep Learning - Simon J.D. Prince
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Implementation of X/Twitter v1, v2, and GraphQL APIs
Rust Market Simulation Library with a Python API
Stock price prediction using a Temporal Fusion Transformer
A curated list of practical financial machine learning tools and applications.
The pricing models and neural network representations used in part one of the paper "Empirical analysis of rough and classical stochastic volatility models to the SPX and VIX markets".