Deep learning optimization library that makes distributed training easy, efficient, and effective.
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An open source machine learning framework in Rust Δ.
Track real-time GPU and LLM pricing across all cloud and inference providers.
AI-generated summaries of provided legal docs.
Train and run a computer vision model with 5-10 lines of code.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Authors: Cal.com core team,, Ted Spare.
Deep learning in Rust, with shape checked tensors and neural networks.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Julia module for Distance evaluation.
A deep learning-based translation library between 50 languages, built with transformers.
DLib has C++ and Python interfaces for face detection and training general object detectors.
DocketAI — built on Replit. Update this description to reflect the app.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
Free AI domain generator with availability check and price comparison.
Shared knowledge makes agents faster and more reliable.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Python library for experiment metrics logging into simply formatted local files.