Create web-based user interfaces with Python. The nice way.
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Visualize, query, and stream to train on multimodal robotics data.
UAParser.js: The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
- user-agent-parser
- browser-detection
- user-agent
- client-hints
iOS-based charting library for both line and bar graphs.
A Modular Optimization framework for Localization and mApping (MOLA)
- slam
- lidar
- lidar-point-cloud
- localization
Visualization framework for autonomy and robotics data encoded in XVIZ
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
TensorForce Bitcoin Trading Bot
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
- csharp
- algebra
- integration
- latex
Blazing fast hexapod robot simulator for the web.
Add built-in support for quaternions to numpy
Jupyter widget helpers for ROS, the Robot Operating System
visualize URDF/XACRO file, URDF Viewer works on Windows/MacOS/Linux
A collection of useful datasets for robotics and computer vision
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- robotics
- tracking
- computer-vision
- pose-estimation
High-performance, time-indexed object storage for robotics and industrial IoT
- blob-storage
- storage-engine
- storage
- historian
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
- gekko
- gekko-datasets
- datasets
- trading-datasets
Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
React Library for Audio Equalizers & Filter Visualization
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Demo Project of the DSSSP: React Library for Audio Equalizers & Filter Visualization