Eduard eduardstan
Organizations
@aclai-labStars
A bare-bones Python library for quality diversity optimization.
Diffusion on syntax trees for program synthesis
Installable GitHub library of 1,500+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes specialized plugins, installer CLI, bundles, workflows, and offic...
"RAG-Anything: All-in-One RAG Framework"
A tool to detect potentially hallucinated or fabricated references in academic PDF papers.
Lightweight, open-source AI agent for your tools, chats, and workflows.
LLM Council works together to answer your hardest questions
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chem...
A Julia package for Prolog-style logic programming.
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any p...
A computer algebra system for propositional logic
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
Framework and Language for Neurosymbolic Programming.
π§ͺ Advanced LLM fine-tuning framework with Reinforcement Learning (GRPO/DPO), Multi-Agent Swarm Training, Adaptive Optimization, and Unsloth integration (2x faster, 70% less VRAM). Train 1.5B-70B+ m...
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Curated list of datasets and tools for post-training.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random ...
A complete and live updated Database with ATP tournaments matches
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.