Search Results for "moves"
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Showing 31 open source projects for "moves"
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1
KaTrain
Improve your Baduk skills by training with KataGo
...The application allows users to play against AI opponents with adjustable difficulty, including intentionally weakened versions of the engine that simulate human-like play styles. One of its key strengths is its ability to generate detailed post-game analyses, highlighting the moves that resulted in the greatest loss of points and suggesting improvements. KaTrain also includes interactive learning features such as retrying moves, exploring variations, and visualizing territory control probabilities. -
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video-shotcraft
AI video skill for Claude Code & Codex
...A searchable gallery provides 161 motion previews and corresponding Remotion examples with tuned easing and animation values. Its Ink Press template delivers a complete 1080p product promo with ten shots, transitions, title cards, camera moves, and cinematic sound effects. Reusable components support page capture, 2.5D movement, captions, flash cuts, digit rolls, and branded asset replacement. It is intended for web and desktop promos, feature demonstrations, launches, and brand films. -
3
oMLX
LLM inference server with continuous batching & SSD caching
...It serves text models, vision-language models, OCR models, embeddings, and rerankers through OpenAI- and Anthropic-compatible APIs. Continuous batching allows concurrent requests, while a tiered KV cache keeps active data in RAM and moves colder blocks to SSD for reuse. Models can be pinned, unloaded manually, or evicted automatically when memory runs low. A web dashboard provides monitoring, chat, downloads, benchmarks, integrations, and per-model settings. It also supports tool calling, structured output, MCP integration, and experimental multi-Mac inference. -
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security-audit
A coding-agent skill for multi-phase security audits
security-audit is a coding-agent skill for running structured security audits on software repositories. It organizes the audit into multiple phases so the agent does not simply search randomly for vulnerabilities. The workflow begins with reconnaissance, then moves into parallel hunting across attack classes such as injection, access control, business logic, cryptography, feature abuse, and chained attacks. Findings are then challenged through separate validation agents to reduce false positives. The skill produces human-readable reports, detailed finding traces, structured JSON output, and independent verification against the actual source code. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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5
EvoAgentX
Self-evolving AI agent framework for automated workflows
EvoAgentX is an open source framework for building, evaluating, and continuously improving LLM-based agents and multi-agent workflows. It moves beyond static pipelines by introducing a self-evolving system where agents are automatically generated, tested, and optimised through iterative feedback. Developers can define goals in natural language, while the framework handles workflow creation, execution, and refinement. Its modular architecture supports layered components for agents, workflows, evaluation, and evolution, enabling flexible experimentation and scaling. ... -
6
Minigrid
Simple and easily configurable grid world environments
Minigrid is a lightweight, minimalistic grid-world environment library for reinforcement learning (RL) research. It provides a suite of simple 2D grid-based tasks (e.g., navigating mazes, unlocking doors, carrying keys) where an agent moves in discrete steps and interacts with objects. The design emphasizes speed (agents can run thousands of steps per second), low dependency overhead, and high customizability — making it easy to define new maps, new tasks, or wrappers. It supports the Gymnasium-style environment API so that RL researchers can plug it into their existing frameworks and algorithms with minimal adaptation. ... -
7
rwkv.cpp
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference. This project is focused on CPU, but cuBLAS is also supported. RWKV is a novel large language model architecture, with the largest model in the family having 14B parameters. In contrast to Transformer with O(n^2) attention, RWKV requires only state from the previous step to calculate logits. This makes RWKV very CPU-friendly on large context lengths. -
8
Laya-MLX
Native MLX runtime for Laya typed decision models
...Inference runs fully locally after model weights are downloaded and does not require PyTorch, Transformers, or a cloud API. The runtime supports English, multilingual, and typed-decision Laya checkpoints while preserving their original calibration and output formats. Its implementation moves the encoder, decision transformer, scoring head, and action head into MLX. The project reports short-decision latency in the single-digit to low-teens millisecond range on an M3 Max, depending on the checkpoint. It also includes routing utilities, demos, validation tests, benchmarks, and a Python API. -
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Keep Codex Fast
A backup-first Codex skill for keeping local Codex state fast
...The project emphasizes inspection before action, so its default mode reports what has grown without changing files. When applied manually, it backs up first, archives old sessions, rotates large logs, moves stale worktrees, and prunes dead references instead of deleting important state. It also includes an optional repair path for oversized thread title and preview metadata. Its main value is helping users preserve continuity through handoff documents while reducing local drag in Codex. -
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10
Pydantic Logfire
Python observability platform for tracing apps, metrics, and logs
...It is particularly strong in Python environments, offering detailed insights into Python objects, event loops, database queries, and validation flows. Logfire also integrates closely with Pydantic models, enabling developers to inspect and analyze how data moves through validation layers. In addition to traditional observability, it supports modern AI and LLM-based applications by tracing full request lifecycles, including model calls and external dependencies. -
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InvestBrain
LLM-enabled investment tracker that consolidates market performance
...Beyond tracking, the platform offers educational insights and indicators (like technical or fundamental signals) that can inform investment decisions and help users recognize patterns or opportunities. Portfolios can be synced across devices, and users can set alerts for threshold events such as price moves or allocation shifts. -
12
Step-Audio
Open-source framework for intelligent speech interaction
Step-Audio is a unified, open-source framework aimed at building intelligent speech systems that combine both comprehension and generation: it integrates large language models (LLMs) with speech input/output to handle not only semantic understanding but also rich vocal characteristics like tone, style, dialect, emotion, and prosody. The design moves beyond traditional separate-component pipelines (ASR → text model → TTS), instead offering a multimodal model that ingests speech or audio and produces speech accordingly, enabling natural dialogue, voice cloning, and expressive speech synthesis. Through its architecture, Step-Audio supports multilingual interaction, dialects, emotional tones (joy, sadness, etc.), and even more creative speech styles (like rap or singing), while allowing dynamic control over speech characteristics. ... -
13
PC Workman HCK
AI-powered PC monitoring that explains. Not shows numbers/spikes.
Your PC says CPU 87%. PC Workman says why, since when, and what to do about it. Real-time system monitor with built-in offline AI. No cloud. Your data stays on your machine. What's inside: -hck_GPT: 82-intent AI assistant. -Ask it anything about your PC in Polish or English. -9-layer routing, learns your usage patterns over weeks. -TURBO mode: one click stops unnecessary services (Gaming/Work/Economy profiles), switches power plan, flushes RAM, freezes idle apps. -One click restores... -
14
Quarto Solver
Quarto Solver calculates optimal moves for Quarto and Quarto 2x2
You can calculate for every game state in Quarto and Quarto 2x2 an optimal move. -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts the way you would debug code. Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. ... -
16
State of Open Source AI
Clarity in the current fast-paced mess of Open Source innovation
...It acts as both a snapshot and a guide: readers can see what’s “hot now” in open AI infrastructure, what open licensing or governance issues are emerging, how deployment options compare, and what gaps remain. Because the AI domain moves quickly, part of the aim is to make the content maintainable and updateable by the community. The structure includes chapters or sections about model formats, evaluation benchmarks, hardware/backends, MLOps systems, alignment and safety issues, and open datasets. The repository contains the text (in Markdown or similar), configuration for build or publishing (static site or e-book), and contributor guidelines. -
17
learn-machine-learning-in-two-months
Essential Knowledge for learning Machine Learning in two months
...The project compiles curated resources, tutorials, and practical notebooks that introduce fundamental topics such as mathematics for machine learning, Python programming, and essential libraries like NumPy and TensorFlow. It progressively moves from foundational theory to more advanced subjects including regression, classification, neural networks, and model deployment. The repository emphasizes understanding the underlying principles of machine learning while also providing practical exercises and examples that allow learners to build and experiment with real models. Many sections include notebooks and code examples that demonstrate how algorithms are implemented and trained using modern machine learning frameworks. -
18
Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. ... -
19
Python Data Science Tutorials
Common data analysis and machine learning tasks using python
...It combines external tutorials, courses, reference guides, notebooks, articles, and selected code examples. The collection begins with Python fundamentals and then moves into scientific computing, statistics, NumPy, pandas, data exploration, and visualization. Its machine learning sections cover practical algorithms and libraries, including regression, classification, clustering, support vector machines, and computer vision resources. Additional material addresses text mining, sentiment analysis, serialization with pickle, AutoML, regular expressions, and web scraping. ... -
20
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks"
Learn_Deep_Learning_in_6_Weeks compresses an introductory deep learning curriculum into six weeks of structured learning and practice. It begins with neural network fundamentals and moves through convolutional and recurrent architectures, optimization strategies, regularization, and transfer learning. The materials emphasize code-first understanding: building small models, training them on accessible datasets, and analyzing their behavior. Each week culminates in a tangible outcome—such as a working classifier or sequence model—so progress is visible and motivating. ... -
21
Game of Giants - 2 player AI
2 Player (Bot or Human) AI Gaming
Game of the Giants is a two-player board game which is played on a 10x10 grid of cells. Each player has four giants having initial configuration as shown in starting stage. A move consists of two subsequent actions: 1. One moves one of one's own giant one or more empty squares in a straight line (orthogonally), exactly as rook moves in chess, it may not cross or enter a square occupied by a giant or an arrow. 2. After moving, the giant shoots an arrow from its landing square to another square, using another rook-like move. This arrow may travel in any orthogonal direction (even backwards along the same path the giant just traveled, into or across the starting square if desired). ... -
22
Engrisi:English Sinhala Learn Dictionary
Best English Sinhala Translator
...(See bellow Features List) Award for Invention of the En Dictioanry ICTA - e-Swabhimani 2012 SLIC - Dhasis 2012 Visit to More Details, http://namalyaya.blogspot.com/2014/01/free-download-english-learning-tool-en-dictionary-2014.html Easy All of Your Language Problem With The En Dictionary ICTA Recommendation. http://tinyurl.com/be5tcze "Real-time Subtitle Translating feature is very useful tool that makes learning English effortless and interesting With this feature people get the opportunity to watch and understand the script of their favorite English moves while learning English at the same time -
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En:Best Alternative to MADURA Dictionary
En Dictionary is Free, Useful Dictionary and English Learning Tool
...(See bellow) Award for Invention of the En Dictioanry ICTA - e-Swabhimani 2012 SLIC - Dhasis 2012 Visit to More Details, http://namalyaya.blogspot.com/2014/01/free-download-english-learning-tool-en-dictionary-2014.html Easy All of Your Language Problem With The En Dictionary ICTA Recommendation. http://tinyurl.com/be5tcze "Real-time Subtitle Translating feature is very useful tool that makes learning English effortless and interesting With this feature people get the opportunity to watch and understand the script of their favorite English moves while learning English at the same time -
24
Movement Detection
Uses a webcam as a photo trap / movement detector
Inspired by Head First C. Small program written in C. It takes a photo with your webcam every time something moves before your webcam. Requires OpenCV library. -
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The first 3d search engine for text. Javascript only. Work in all browsers. Ajax downloads new words (and links between them) as you move mouse to control AI to learn what you're looking for (in context) and put it on screen. Includes Wikipedia data
