Popular GitHub Repositories for Shallow Recurrent Decoding

A curated list of awesome Deep Learning tutorials, projects and communities.

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

VIP cheatsheets for Stanford's CS 230 Deep Learning

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Recurrent neural network for audio noise reduction

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

LightSeq: A High Performance Library for Sequence Processing and Generation

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Simple and comprehensive tutorials in TensorFlow

List of papers, code and experiments using deep learning for time series forecasting

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Convolutional recurrent network in pytorch

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

? Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms?

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)