Search Results for "python tools" - Page 14

A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced "plastic".)

AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)

FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.

VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.

OpenOCR will be a commercial quality ocr engine with tools for pre- and post-processing of images and resulting text.

Visual CCG is a set of tools to help one view and manipulate XML-based CCG (Complex Categorical Grammars) tools.

The Semantic Server is a Python-based set of tools that allow for better management, analysis, and integration with other systems. It uses the A.L.I.C.E. chatbot technology by Dr. Richard Wallace.

This project aims to build a full featured C++ (and possibly Python) library and associated tools which facilitate building Artificial Life simulations in a distributed environment.

MAF (Mobile Agent Framework) is a research prototype which aims to facilitate the development and evaluation of mobile agent by providing a set of handy primitatives and simulation tools.

EpicStaff is an open-source multi-agent AI systems platform that enables automation of complex workflows through these capabilities: - Visual AI Workflow Builder for no-code agent creation. - Full Developer Control via API for custom Python tools and logic. - Multi-Agent Orchestration for collaborative agent teams. - Knowledge Injection (RAG) for accurate, context-aware responses. - Memory & Contextual Reasoning for complex, multi-step tasks. - High-Performance Core (FastAPI) for scalable, low-latency responses. It integrates with any LLM and API via custom tools. ...

Case base reasoninig is one of the primitive AI techniques in existance. Infact it's one of the laziest. Implementation however takes some effort. Python is one of the most to used languages that is becoming popular in every community for its simplicity & ease of learning. It has an interface for wordnet (through nltk tools) which brings us why pyCBR exists. This script is still in its infant stage of CBR & script matching. Nontheless you could use it to do many crazy stuff. Enjoy!!!

SeismicFlow is a scientific Windows application for geophysical prospecting, designed for subsurface imaging and analysis. It provides advanced tools for seismic interpretation, well logging analysis, and reservoir characterization, making it an essential platform for professionals in oil and gas exploration, geophysics, and petrophysical analysis.

...Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. The model is efficient for both cloud inference with vLLM and local deployment using llama.cpp or Ollama, thanks to its bf16 precision and AMP training. While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.

GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility...

Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection -...