An open source machine learning framework in Rust Δ.
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Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Train and run a computer vision model with 5-10 lines of code.
Open-source project that uses AI to draft, edit, summarize, or adapt written content.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Basic proof of concept for genetic architecture search in Keras.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Deep learning in Rust, with shape checked tensors and neural networks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.
Julia module for Distance evaluation.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Julia package for probability distributions and associated functions.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A deep learning-based translation library between 50 languages, built with transformers.