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A scikit-learn based module for multi-label et. al. classification

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

Epsilla is a high performance Vector Database Management System

Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications

Deep Learning for Coders, 2020, the website

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

ML powered analytics engine for outlier detection and root cause analysis.

Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

Framework and Library for Distributed Online Machine Learning

Python package for stacking (machine learning technique)

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)

Processing and gridding spatial data, machine-learning style

Quickly format your notes with ChatGPT in Obsidian

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

Time series analysis in the `tidyverse`

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

The best RSS Search experience you can find

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

QKeras: a quantization deep learning library for Tensorflow Keras

🎯 A comprehensive gradient-free optimization framework written in Python

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

🤖 AI browser extensions & userscripts to augment your web experience

Module for statistical learning, with a particular emphasis on time-dependent modelling

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.