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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filteâŠ
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama modeâŠ
StableLM: Stability AI Language Models
A multi-voice TTS system trained with an emphasis on quality
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
Recipes for using Python's pandas library
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Useful functions, tutorials, and other Python-related things
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
đŠ Explore multimedia datasets at scale
A Software Framework for Neuromorphic Computing
Training Very Deep Neural Networks Without Skip-Connections
Directory of Jupyter notebooks exploring various topics
python automatic data quality check toolkit
â Eurybia monitors model drift over time and securizes model deployment with data validation
A Python implementation of "Functional Geometry" by Peter Henderson
This is an open-source tool to assess and improve the trustworthiness of AI systems.
A collection of Jupyter Notebooks from the How to Python series
Notes on importing content to Mastodon.
Artificial Intelligence and Machine Learning to accelerate scientific research and filter relevant content
Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination
Arbetsförmedlingen's Swedish BERT models