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AdvancedEAST 是用 Python 编写的学习资料，用于系统学习与查阅。

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, whic…

awesome-relation-extraction 是一个 AI 工具，用于人工智能方向的建模与推理。

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

js-pytorch 是用 JavaScript 编写的 AI 工具，用于人工智能方向的建模与推理。

A JavaScript library like PyTorch, with GPU acceleration.

perceiver-pytorch 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

FastMOT 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打高性能。

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

GCNet 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

sockeye 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

self-attention-cv 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

PDEBench 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

PDEBench: An Extensive Benchmark for Scientific Machine Learning

VoxFormer 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

cleanvision 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Automatically find issues in image datasets and practice data-centric computer vision.

keras-flask-deploy-webapp 是用 JavaScript 编写的学习资料，用于系统学习与查阅，主打易用。

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app …

torchxrayvision 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

phase-recovery 是一个学习资料，用于系统学习与查阅。

Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

nncf 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Neural Network Compression Framework for enhanced OpenVINO™ inference

Deep-Learning-Experiments 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Videos, notes and experiments to understand deep learning

arbitrary-image-stylization-tfjs 是用 JavaScript 编写的 AI 工具，用于人工智能方向的建模与推理。

Arbitrary style transfer using TensorFlow.js

chainerrl 是用 Python 编写的学习资料，用于系统学习与查阅。

ChainerRL is a deep reinforcement learning library built on top of Chainer.

CoCa-pytorch 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

telemanom 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Sci…

grokking-pytorch 是一个学习资料，用于系统学习与查阅。

The Hitchiker's Guide to PyTorch

DeepRec 是用 C++ 编写的学习资料，用于系统学习与查阅，主打高性能。

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

DeepPurpose 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

graphein 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Protein Graph Library