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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
scikit-learn: machine learning in Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A library for scientific machine learning and physics-informed learning
python测试开发库 中文版(持续更新)及书籍下载。公众号:pythontesting
💻深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Must-read Papers on Physics-Informed Neural Networks.
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
Robust machine learning for responsible AI
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
FreeSOLO for unsupervised instance segmentation, CVPR 2022