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Schrodinger-E's Projects

deeplearning-lab icon deeplearning-lab

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deit icon deit

Official DeiT repository

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

hello-algorithm icon hello-algorithm

🌍 针对小白的算法训练 | 包括四部分:①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附:1、千本开源电子书 2、百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learn_dl icon learn_dl

Deep learning algorithms source code for beginners

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

python icon python

All Algorithms implemented in Python

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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