[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
- diffusion-transformers
- eccv2026
- image-generation
- training-free
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[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a platform for autonomous architecture research.
Run transformers directly on Apple's Neural Engine in Swift bypass coreml entirely
Your users download a 4GB AI model, the connection drops at 3.8GB, verifyfetch resumes from 3.8GB and verifies every byte. Drop-in integrity verification for Transformers.js, WebLLM, and any large file in the browser.
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
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Monadic effects and equational reasoning in Rocq
Research experiments exploring uncommon quant techniques.
Universal 1d/2d data containers with Transformers functionality for data analysis.
Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.
Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)
Kustomize KRM function to run builtin transformers
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.