Popular GitHub Repositories for Holt Linear Forecasting

100 Days of ML Coding

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.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

A unified framework for machine learning with time series

Fast and Accurate ML in 3 Lines of Code

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A python library for user-friendly forecasting and anomaly detection on time series.

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

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

CUDA Templates for Linear Algebra Subroutines

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.

Postgres with GPUs for ML/AI apps.

Code for Tensorflow Machine Learning Cookbook

Statistical Machine Intelligence & Learning Engine

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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

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