Autodistill
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
OPENAGENTSKILL / DIRECTORY
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1–16 / 28
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Results: 28
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
torchgeo
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
HorizonRobotics
HoloMotion: A Foundation Model for Whole-Body Humanoid Control
wiltodelta
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IP…
mlfoundations
An open-source framework for training large multimodal models.
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
adobe-research
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
TingsongYu
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
bytedance
Official Repo For Pixel-LLM Codebase: Sa2VA (Arxiv-25), SAMTok (CVPR-26), VRT, SaSaSa2VA (1-st solution for LSVOS)
PrunaAI
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
IBM
Upscale an image by a factor of 4, while generating photo-realistic details.
2toinf
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
open-compass
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
open-mmlab
OpenMMLab Foundational Library for Training Deep Learning Models
PINTO0309
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, Ten…