FinRL
github.comResearch trading decisions with reinforcement-learning experiments
Research trading decisions with reinforcement-learning experiments
Physics-driven AI that automates PCB placement and routing
Train, deploy, and improve AI models on integrated compute, training, inference, and sandbox tools.
Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
UX case studies, examples and structured learning paths
Design interviews, books and a learning community
Organize machine-learning experiments for quantitative investment research
AI training platform that turns PDFs, videos, or text into multilingual courses.
AI-powered learning platform that builds personalized pathways for career growth.
Model connected data as a distributed graph and query it with DQL or a schema-generated GraphQL API.
A browser-based Dart and Flutter workbench for running small programs and UI samples.
Compiles and optimizes machine-learning models for deployment across hardware targets.
Enterprise AI platform and AI-native learning suite
AI language tutor for speaking, listening, writing, and pronunciation practice in 130+ languages.
Curated website examples with categories, collections and learning
Short interactive UX lessons with assessments and practice briefs
Sales learning, content, and buyer rooms with annual user-based subscriptions
Association community spaces connected to directories, events and peer learning
An immersive Smalltalk environment where a live image, code tools, and debugger support immediate feedback.
AI language tutor for speaking practice and pronunciation feedback.
Work-related courses with role guides and learning pathways.
Turns any subject into a structured course with five tiers and hands-on labs.
A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.