Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
This project store example using kafka in AI
Machine Learning, deep learning Shortcuts
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Pixel Based Car Height Detection with YoloV5 and Mask-RCNN
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
在图像获取和传输过程中，往往伴随着各种形式的损坏，降低了图像质量和对图像信息的准确解释，一些老照片因为保存不当也会变得存在污渍或者破损缺失。图像修复技术主要用来修复日常生活中被噪声污染或者人为破坏的破损图像，也可应用于替换图像中的小区域或者瑕疵。目前，图像修复工作仍然由经验丰富的图像修复师来完成，让图像修复借助深度学习算法实现自动化日趋成为该领域的发展方向。本课题基于深度学习算法和图像处理技术，设计并开发一款图像修复深度学习算法程序，该算法能够对使用者上传的照片进行自动化分析，修复照片的损坏部分，提高照片的清晰度和观赏性。
Julia Implementation of Transformer models
Visualizer for neural network, deep learning and machine learning models
An Open Source Machine Learning Framework for Everyone
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Proprietary trading subnetwork built on Bittensor
[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".
[CVPR 2024] Situational Awareness Matters in 3D Vision Language Reasoning