DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 1,333–1,368 of 14,444 resources
13-tool unified real-time and historical market data across Forex, US/HK/CN stocks, and crypto
Direct SEC EDGAR access for AI assistants: 10-K, 10-Q, 8-K filings, and insider trading data
Federal Reserve Economic Data (FRED) MCP server: access 800,000+ macroeconomic time series
Official Kraken AI-native CLI with built-in MCP support for spot trading, portfolio management, and market data
22-tool MCP server for 60+ EVM-compatible networks: token balances, smart contracts, and DeFi operations
A game theoretic approach to explain the output of any machine learning model.
Partenaire stratégique des entreprises pour la transformation de leurs activités en tirant profit de toute la puissance de la technologie.
machine learning with logical rules in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Keras implementation of RetinaNet object detection.
Image processing in Python
Open Source Computer Vision Library
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4…
📧 Melusine: Use python to automatize your email processing workflow
Python library for interactive topic model visualization. Port of the R LDAvis package.
Topic Modelling for Humans
💫 Industrial-strength Natural Language Processing (NLP) in Python
Some resources for intelligibility analysis of machine learning models.
Public repository by Amxx. Primary language: JavaScript.
Utility to get paged results from The Graph endpoints
Monitor subgraphs from https://thegraph.com/
A collection of utilities and helpers to support the development of subgraphs
Missing data visualization module for Python.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The Python micro framework for building web applications.
an easy way to define preprocessing data pipeline (similar to sklean-pandas but for Spark ML)
Confluent's Kafka Python Client
Survival analysis built on top of scikit-learn
Create Ethereum-powered apps with one command
Discover our free, open-source and community-driven knowledge base on The Graph Protocol that helps you to master The Graph.
Educational sandbox for prototyping Web3. Learn Ethereum visually with drag-and-drop programming.
Subgraph for yearn finance: https://yearn.finance
Subgraph (Graph Protocol) data layer for Balancer v2 vault, swaps, txs, users
