Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Directory
Search results
Published directory entries matching your search.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
Unsupervised machine learning with multivariate Gaussian mixture model.
Easy-to-use and flexible AutoML library for Python.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A simple and functional machine learning library written in Elixir.
Python package which helps to debug machine learning classifiers and explain their predictions.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Python library for experiment metrics logging into simply formatted local files.
Deep learning in Rust, with shape checked tensors and neural networks.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
Track your datasets, code changes, experimentation history, and models.
A PyTorch based deep learning library for drug pair scoring.
Library of ML-Engineering tools for rapid prototyping and experiment management.
Authors:, Dexter Storey, Ted Spare.
"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".