Apprentissage automatique · GitHub

A programmable system for high-performance model serving

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

AI-powered voice conversion and real-time voice changer. Transform your voice with neural models, custom presets, and low latency.

• 🤖 AI voice conversion: neural models keep your intonation and emotion while changing only the timbre
• ⚡ Real-time mode: low-latency processing thanks to native C++ code

Interactive lessons, graded Python labs and quizzes for researchers bringing machine learning into science, all in a learning desktop in your browser. 216 chapters · English · 한국어

• 🧭 A roadmap, not a pile of chapters - 219 chapters in 33 parts and 12 tracks, arranged in 7 layers. Each chapter declares what it builds on, so you always know what to read next.
• 🐍 Python in the browser - Code cells run in place with Pyodide (NumPy, SciPy, pandas, matplotlib, scikit-learn). PyTorch and GPU examples are shown read-only with a copy button; run them on your own machine with each chapter's downloadable lab files.

Official implementation of HARL algorithms based on PyTorch.

• HARL algorithms achieve coordinated agent updates by employing the sequential update scheme, different from the simultaneous update scheme utilized by MAPPO and MADDPG.
• HARL algorithms enjoy theoretical guarantees of monotonic improvement and convergence to equilibrium, ensuring their efficacy in promoting cooperative behavior among agents.

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.

PFLD pytorch Implementation

Exploring attention weights in transformer-based models with linguistic knowledge.