github.com
Autograd and XLA for high-performance machine learning research.
Directory
Search results
Published directory entries matching your search.
github.com
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
github.com
Algorithm capable of fully capturing the impact of data drift on performance.
github.com
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
github.com
An Easy-to-Use and High-Performance AI deployment framework.
github.com
An open-source cross-platform performance library for deep learning applications.
github.com
OneFlow is a performance-centered and open-source deep learning framework.
github.com
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
pandas.pydata.org
A library providing high-performance, easy-to-use data structures and data analysis tools.
github.com
Simple, realtime visualization of neural network training performance.
github.com
The lightweight PyTorch wrapper for high-performance AI research.
rev.ai
Rev AI, part of the Rev family, is a developer-first API that delivers industry- accuracy and fast performance at global scale. Click to learn more.
github.com
100% free, open-source AI code review tool for analyzing git branch differences with comprehensive security, performance, and quality analysis.
github.com
High-performance, high-precision CPU, GPU, and memory profiler for Python.
github.com
High performance distributed data processing in NodeJS.
github.com
Flexible, high-performance serving system for machine learning models.
Creates or edits images with generative models and visual controls.
github.com
"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
github.com
GPU-based high-performance interactive OpenGL 2D/3D data visualization library.