State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Repository Index
47,133 repositories indexed
1–24 of 41 · Most stars
Relocate resource intensive third-party scripts off of the main thread and into a web worker. 🎉
- webworker
- 3rd-party
- 3rdparty
- web-worker
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
📈 A small, fast chart for time series, lines, areas, ohlc & bars
- time-series
- ohlc
- line-chart
- performance
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
A collection of libraries to optimise AI model performances
Performance analysis of predictive (alpha) stock factors
Java dataframe and visualization library
- dataframe
- data-frame
- java
- java-dataframe
Beautiful, open source, WebGPU-based charting library
- chart-library
- charting-library
- data-analysis
- webgpu
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
High performance datastore for time series and tick data
LinDB is a scalable, high performance, high availability distributed time series database.
- monitoring
- metrics
- high-performance
- distributed-database
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
High-performance Toolkit for WebGL-based Data Visualization
A toolkit to make debugging iOS applications easier 🚀
A Python package for manipulating 2-dimensional tabular data structures
- python
- data-analysis
- data-structure
- performance
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
📈 Open source, privacy-first web analytics — a cookie-less Google Analytics alternative with built-in error tracking and performance monitoring. Self-host it or use our cloud. Get started for free!
- docker
- webanalytics
- self-hosted
- selfhosted
A modern C++ CSV parser and serializer that doesn't make you choose between ease of use or performance.
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management