从 65,746 个高星开源项目里，
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Knet.jl 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Koç University deep learning framework.

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

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

gradslam 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

gradslam is an open source differentiable dense SLAM library for PyTorch

iOS_ML 是一个 AI 工具，用于人工智能方向的建模与推理。

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

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

Research Framework for easy and efficient training of GANs based on Pytorch

tabicl 是用 Python 编写的学习资料，用于系统学习与查阅。

TabICLv2: An open tabular foundation model

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

Tribuo - A Java machine learning library

MedMNIST 是用 Python 编写的学习资料，用于系统学习与查阅。

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

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

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

pytorch-widedeep 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打可扩展。

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

best-of-streamlit 是一个学习资料，用于系统学习与查阅。

🏆 A ranked gallery of awesome streamlit apps built by the community

Arraymancer 是用 Nim 编写的学习资料，用于系统学习与查阅，主打速度快。

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

self-rewarding-lm-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 the training framework proposed in Self-Rewarding Language Model, from MetaAI

ILearnDeepLearning.py 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理，主打轻量。

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish…

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

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

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

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can …

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

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

DI-star 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

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

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

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

Tensors, for human consumption

TorchCraft 是用 C++ 编写的学习资料，用于系统学习与查阅。

Connecting Torch to StarCraft

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

RL implementations

must-read-papers-for-ml 是一个 AI 工具，用于人工智能方向的建模与推理。

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer