2881 Open source projects that are alternatives of or similar to Pygraphistry

Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more

cuDF - GPU DataFrame Library

Query and report user logons relations from MS Windows Security Events

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

A flexible framework of neural networks for deep learning

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

InteractiveGraph provides a web-based interactive visualization and analysis framework for large graph data, which may come from a GSON file, or an online Neo4j graph database. InteractiveGraph also provides applications built on the framework: GraphNavigator, GraphExplorer and RelFinder.

Fast Clojure Matrix Library

GraphVite: A General and High-performance Graph Embedding System

📈 A simple Instagram analytics tool that continuously logs and graphs your follower count.

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Convert CSV files into a SQLite database

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Library for faster pinned CPU <-> GPU transfer in Pytorch

https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Embed a JavaScript/WebGL application on a Nvidia Jetson TX2 and stream the results through websockets. It does not rely on CUDA/Jetpack. HDMI touchscreen, virtual keyboard, GPIO control, wifi config are included.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

📈 A small, fast chart for time series, lines, areas, ohlc & bars

OptiX Path Tracer

Concurrent CPU-GPU Programming using Task Models

⛔ DEPRECATED. This project was moved to a new repository. Visit https://github.com/DevExpress/dashboard-extensions to find an updated version.

⛔ DEPRECATED. This project was moved to a new repository. Visit https://github.com/DevExpress/dashboard-extensions to find an updated version.

GPU Accelerated t-SNE for CUDA with Python bindings

Neo4j Movies Example application with SparkJava backend using the neo4j-java-driver

An extensible HPC framework for CUDA, OpenCL and native CPU.

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

NumPy & SciPy for GPU

Deep.Net machine learning framework for F#

Lighthouse 2 framework for real-time ray tracing

Wind power visualization with WebGL particles

3D GPUs Strange Attractors and Hypercomplex Fractals explorer - up to 256 Million particles in RealTime

High-Performance Graph Primitives on GPUs

stdgpu: Efficient STL-like Data Structures on the GPU

Python interface to GPU-powered libraries

OpenCL integration for Python, plus shiny features

A vector field explorer

Fast Neural Machine Translation in C++

Experiments with CUDA and Rust

Cooperative primitives for CUDA C++.

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Rust wrapper for ArrayFire

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

CUDA integration for Python, plus shiny features

Helm Charts for running Neo4j on Kubernetes

Gradient Boosting powered by GPU(NVIDIA CUDA)

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Multi-purpose serial data visualization & processing program

A python library to push ethereum blockchain data into an sql database.

Some CUDA design patterns and a bit of template magic for CUDA

Graphs for Everyone

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

⚡️ The fastest way to create pixel shaders.

Python driver for MarketStore

A quick visualization tool for Jupyter and Neo4J

Rusty wrapper for the CUDA Driver API

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

ThunderSVM: A Fast SVM Library on GPUs and CPUs