A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API

Boilerplate for new iOS projects using Swift 5. Provides a handful of functionalities.

Workgroup for the New React Native Architecture

Intuitive cycling tracker app for iOS built with SwiftUI using Core Location, Core Data, MapKit, CloudKit and Combine. Features live route tracking, live metrics, storage of past cycling routes and…

SwiftUI meets MapKit

A SwiftUI Mastodon client

A2RL is a Python library for offline reinforcement learning

GnuCash Double-Entry Accounting Program.

Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one

Ergonomic Framework for Humans

E-Commerce site built with Next.js App Router (and other packages like tRPC, Next-Auth, Prisma, etc)

A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.

Step Functions Workflows. Learn more at the website: https://serverlessland.com/workflows.

Demo code to illustrate the execution of PyTest unit test cases for AWS Glue jobs in AWS CodePipeline using AWS CodeBuild projects

Learn more about Amazon EventBridge resource policies and multi-account event bus topologies. This repo contains sample code for the AWS re:Invent 2020 session "Building event-driven applications w…

Example projects using the AWS CDK

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

This Guidance demonstrates how you can automate your carbon footprint tracking with the Sustainability Insights Framework (SIF) on AWS

GPT-3: Language Models are Few-Shot Learners

Pytorch code for Google's Temporal Fusion Transformer

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

The official Python client for the Hugging Face Hub.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

proof of concept for a transformer-based time series prediction model

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Adversarial Sparse Transformer for Time Series Forecasting

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)