Stars
This demo app includes an SDK for easy Bluetooth Low Energy communication with the Texas Instruments NIRScan Nano EVM.
本项目为xiaozhi-esp32提供后端服务,帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
how to optimize some algorithm in cuda.
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
YACCLAB: Yet Another Connected Components Labeling Benchmark
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
Diffusion model papers, survey, and taxonomy
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
A C++ compression program based on Huffman's lossless compression algorithm and decoder.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A latent text-to-image diffusion model
