FinRL
github.comResearch trading decisions with reinforcement-learning experiments
Research trading decisions with reinforcement-learning experiments
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.
Enterprise AI platform and AI-native learning suite
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.
Work-related courses with role guides and learning pathways.
AI language tutor for speaking, listening, writing, and pronunciation practice in 130+ languages.
Self-directed professional learning for UN personnel
AI-native platform for creating, delivering, and tracking interactive learning experiences
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
Turns any subject into a structured course with five tiers and hands-on labs.
AI language tutor for speaking practice and pronunciation feedback.
Personalised early learning with reading, maths, thinking, creative and social-learning activities.