Popular GitHub Repositories for Linear Rnn

100 Days of ML Coding

12 Weeks, 24 Lessons, AI for All!

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

CUDA Templates for Linear Algebra Subroutines

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Statistical Machine Intelligence & Learning Engine

Code for Tensorflow Machine Learning Cookbook

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Recurrent neural network for audio noise reduction

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!