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GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
FlashMLA: Efficient Multi-head Latent Attention Kernels
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr…
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Transformer related optimization, including BERT, GPT
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型,任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型,单并发20tps;INT4量化模型单并发30tps,多并发可达60+。
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )
Platform for building access networks and modular network services
TuGraph: A High Performance Graph Database.
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
A distributed, fast open-source graph database featuring horizontal scalability and high availability. This is an archived repo for v2.5 only, from 2.6.0 +, NebulaGraph switched back to https://git…
BERT for Finance : UC Berkeley MIDS w266 Final Project
HyQSAT: A Hybrid Approach for 3-SAT Problems by Integrating Quantum Annealer with CDCL
Demo for detecting cryptocurrency fraud with graph embeddings