TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Model Context Protocol server for Excel file manipulation
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。
An open-source framework for training large multimodal models.
A series of large language models developed by Baichuan Intelligent Technology
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Model summary in PyTorch similar to `model.summary()` in Keras
3D ResNets for Action Recognition (CVPR 2018)
人像卡通化探索项目 (photo-to-cartoon translation project)
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
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