mira
Code for MIRA: Multiplayer Interactive World Models with Representation Autoencoders
HYSEN LABS DIRECTORY
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Code for MIRA: Multiplayer Interactive World Models with Representation Autoencoders
Platform for Machine Learning projects on Software Engineering
A flexible, adaptive classification system for dynamic text classification
Next paradigm for LLM Agent. Unify plan and action through recursive code generation for adaptive, human-like decision-making.
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.
Train and block edit and save LoRAs directly inside ComfyUI for Z-image, Flux Klein, SDXL, Flux, WAN 2.2, SD 1.5
Cambrian-S: Towards Spatial Supersensing in Video
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
Scaling the Horizon, Not the Parameters
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
Make your meetings accessible to AI Agents
[ICLR 2026] A Framework for LLM-based Multi-Agent Reinforced Training and Inference
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Claude Code / Codex skills that turn a video into a Chinese narration recap: scene detection, ASR, VLM, script, TTS, ffmpeg assembly, and optional editable JianYing / CapCut draft export. Runs on local ffmpeg plus one MiMo key, no GPU needed.
Framework for a local AI agent powered task management system
Governance standard and reference toolset for LLM-maintained knowledge corpora
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
Fixes AI pixel art images, video, or sprite web uploads
Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.