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A beautiful, simple, clean, and responsive Jekyll theme for academics
Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)
Understand Human Behavior to Align True Needs
Mixture of Bayes PCA | Variational Inference
Attention based model for learning to solve different routing problems
Variational Transformers for Diverse Response Generation
An application of Stein Variational Gradient descend including some visualizations.
ac-library-rs is a rust port of AtCoder Library (ACL).
🤩 A curated list of awesome Editor.js tools, libraries and resources.
Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.
Quill is a modern WYSIWYG editor built for compatibility and extensibility
Visual development environment for CSS
code for "Quantile Stein Variational Gradient Descent"
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
A stochastic Stein variational Newton method
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Implementation of Stein Variational Gradient Descent with TensorFlow 2.0
A toolkit for reproducible reinforcement learning research.
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.