🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
- comfyui
- comfyui-custom-node
- comfyui-extension
- comfyui-manager
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🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
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.
A Python native dynamical system simulation framework in the block diagram paradigm.
Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
Speedrun for pretraining without backpropagation
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
A replica, near real-time, miniature UK railway station train departure sign based upon a Raspberry Pi Zero and 256x64 SPI OLED display
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
The PASS dataset: pretrained models and how to get the data
[arXiv 2026] Unified Audio-Video Creation via Progressive Training and Asymmetric Scheduling
TranslatedTreat agents as functions, and write ideas as programs. Agent-native functional language with a CLI, Web IDE, goal-driven bots and live UI. Source-available; no AI training.
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
Feather agent harness, training integrations, and evaluation tools for knowledge work
An autonomous agent that profiles, optimizes, and validates AI training code.
Trading environnement for RL agents, backtesting and training.
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A Kata exercise. This one involves writing code to reserve seats on a train.
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents