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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.

Python package for Bayesian Machine Learning with scikit-learn API

A dead-simple API to build LLM-powered apps

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)

Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr

ChatGPT-Pro is an advanced application that combines the power of ChatGPT and DALL.E.

A C++17 library to access the entire OpenAI API.

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

The open source implementation of Gemini, the model that will "eclipse ChatGPT" by Google

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Start building and deploying Python packages and Docker images for MLOps tasks.

High performance distributed data processing engine

🎆 A visualization of the CapsNet layers to better understand how it works

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.