hkproj / vae-from-scratch-notes
Notes about the video on the Variational Autoencoder
☆12Updated last year
Alternatives and similar repositories for vae-from-scratch-notes:
Users that are interested in vae-from-scratch-notes are comparing it to the libraries listed below
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆193Updated 5 months ago
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆26Updated 3 weeks ago
- LCSim: A Large-Scale Controllable Traffic Simulator☆67Updated 4 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆80Updated last month
- This repository contains implementation of "Pishgu: A Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Sy…☆31Updated last year
- Official code for the ICLR 2025 paper, "Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining"☆21Updated 4 months ago
- PyTorch original implementation of "Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers" (…☆65Updated 2 months ago
- Open-TI: Open Traffic Intelligence with Augmented Language Model☆17Updated last month
- Lecture slides for the MARL book (www.marl-book.com)☆85Updated last week
- NeurIPS 2024 DACER☆94Updated last month
- ☆71Updated 6 months ago
- Implementation of the proposed minGRU in Pytorch☆283Updated 3 weeks ago
- This is a source repository for Multi-Agent Reinforcement Learning for Autonomous Driving research☆26Updated 6 months ago
- This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.☆27Updated 5 months ago
- Official documentation of I-24 MOTION data products☆14Updated last year
- ☆23Updated 6 months ago
- Benchmark for studying the imitation gap when training autonomous driving policies from human demonstrations☆18Updated 3 months ago
- PromptGAT: Prompt learning for Sim2Real under reinforcement learning☆25Updated 6 months ago
- Implementation of Physics-Informed Diffusion Models☆64Updated last month
- A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM☆71Updated 7 months ago
- Exploring Large Language Models for Trajectory Prediction: A Technical Perspective☆19Updated 9 months ago
- Official implementation of the Dronalize toolbox for trajectory prediction research on drone datasets.☆45Updated 3 weeks ago
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆103Updated 5 months ago
- TransSimHub is a lightweight Python library for simulating and controlling transportation systems.☆23Updated this week
- [CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction☆161Updated last year
- Official code for ICML 2024 paper, "RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences" (ICML 2024 Spotlight)☆28Updated 5 months ago
- ☆61Updated 3 years ago
- WcDT: World-centric Diffusion Transformer for Traffic Scene Generation☆31Updated 11 months ago
- 1 million FPS multi-agent driving simulator☆372Updated this week
- Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …☆30Updated 6 months ago