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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

basiclstm

The aim of this implementation is to help to learn structure of basic LSTM (LSTM cell forward, LSTM cell backward, etc..)

building_a_recurrent_neural_network-step_by_step

implement forward pass and backward pass of RNN cell and LSTM cell

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

leedl-tutorial

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

lstm-with-federated-machine-learning

lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

traccar

Traccar GPS Tracking System

vfl_linearregression