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深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 06

These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：

The models were pre-trained on the ImageNet and ImageNet-21k datasets. We provide the code for fine-tuning the released models in JAX/Flax.

live Real-time hand pose detection in the browser using TensorFlow.js. source

13 and is available on Linux, MacOS, and Windows.

Related Codes: - Large language model evaluation: [llm-eval] - Large language model enhancement: [llm-enhance] - Robust machine learning: [robustlearn: robust machine learning] - Semi-supervised learning: [USB: unified semi-supervised learning benchmark] | [TorchSSL: a unified…

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

Implementation of Vision Transformer , a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Significance is further explained in Yannic Kilcher's video.

A collection of various deep learning architectures, models, and tips

Ultralytics YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time object detection model.

Pretrain temporal dynamics once. Adapt with limited target data. Generate full predictive distributions in 1–4 steps.