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Official implementation of "MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling"
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