xzh-xzh's starred repositories
llama-models
Utilities intended for use with Llama models.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Neighborhood-Attention-Transformer
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
llama3-from-scratch-zh
从零实现一个 llama3 中文版
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
rl-tutorials
basic algorithms of reinforcement learning
leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RL-Solutions
强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
transformer
Transformer是谷歌在17年发表的Attention Is All You Need 中使用的模型，经过这些年的大量的工业使用和论文验证，在深度学习领域已经占据重要地位。Bert就是从Transformer中衍生出来的语言模型。我会以中文翻译英文为例，来解释Transformer输入到输出整个流程。
Hebbian-CNN
Convolutional Neural Networks with Hebbian-based rules in Online Transfer Learning
HebbianPCA
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
HebbianLearning
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
HebbianLearningThesis
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fast_pytorch_kmeans
This is a pytorch implementation of k-means clustering algorithm