从 65,744 个高星开源项目里，
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TimeMixer 是用 Python 编写的学习资料，用于系统学习与查阅。

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

make-a-video-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 Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

papers_for_protein_design_using_DL 是一个学习资料，用于系统学习与查阅。

List of papers about Proteins Design using Deep Learning

PhySO 是用 Python 编写的学习资料，用于系统学习与查阅。

Physical Symbolic Optimization

Bayesian-Neural-Networks 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Awesome-Dataset-Distillation 是用 HTML 编写的资源清单，按主题汇总同类优质资源。

A curated list of awesome papers on dataset distillation and related applications.

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

Training PyTorch models with differential privacy

tensorflow-1.4-billion-password-analysis 是用 Python 编写的学习资料，用于系统学习与查阅。

Deep Learning model to analyze a large corpus of clear text passwords.

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

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

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

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

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

A differentiable PDE solving framework for machine learning

gigagan-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 GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

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

Deep learning in Rust, with shape checked tensors and neural networks

uTensor 是用 C++ 编写的学习资料，用于系统学习与查阅。

TinyML AI inference library

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

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

GPflow 是用 Python 编写的学习资料，用于系统学习与查阅。

Gaussian processes in TensorFlow

fastdup 是用 Python 编写的学习资料，用于系统学习与查阅，主打功能完整、开源免费。

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both …

diffgram 是用 Python 编写的学习资料，用于系统学习与查阅。

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to g…

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

Generic U-Net Tensorflow implementation for image segmentation

awesome-diarization 是一个资源清单，按主题汇总同类优质资源。

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

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

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

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

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

graph-fraud-detection-papers 是一个学习资料，用于系统学习与查阅。

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources