handwritten-multi-digit-number-recognition VS neuralforecast

What are some alternatives?

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

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

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

pytorch-forecasting - Time series forecasting with PyTorch

handwritten-digits-recognizer-webapp - This is my first experience with machine learning

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv

nixtla - Python SDK for TimeGPT, a foundational time series model

Handwritten-Optical-Character-Recognition - Responsive web app that can recognize handwritten characters drawn on canvas and perform arithmetic calculation.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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