从 65,749 个高星开源项目里，
找到你要的下一个。

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]

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.

machine-learning-and-simulation 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/U…

R 是用 R 编写的学习资料，用于系统学习与查阅，主打实现清晰。

Collection of various algorithms implemented in R.

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

Multilingual word vectors in 78 languages

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.

xorbits 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快、可伸缩。

Scalable Python DS & ML, in an API compatible & lightning fast way.

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

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

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

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

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.

FlowMeter 是用 Go 编写的学习资料，用于系统学习与查阅。

⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐

Oxen 是用 Rust 编写的学习资料，用于系统学习与查阅，主打速度快。

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

yolo-9000 是一个学习资料，用于系统学习与查阅，主打速度快、实时。

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

variational-autoencoder 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打实现清晰。

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Data-Science-Projects 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

deepdow 是用 Python 编写的学习资料，用于系统学习与查阅。

Portfolio optimization with deep learning.

example-scripts 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打速度快。

A collection of scripts and notebooks to help you get started quickly.

functime 是用 Python 编写的学习资料，用于系统学习与查阅。

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

seqeval 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

nlp-in-practice 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用。

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, wor…

backdoor-learning-resources 是一个学习资料，用于系统学习与查阅。

A list of backdoor learning resources