rekalantar / VariationalAutoencoders_PytorchLinks
Variational Autoencoder (VAE) PyTorch Tutorial from Scratch
☆9Updated last year
Alternatives and similar repositories for VariationalAutoencoders_Pytorch
Users that are interested in VariationalAutoencoders_Pytorch are comparing it to the libraries listed below
Sorting:
- A simple tutorial of Variational AutoEncoders with Pytorch☆402Updated last year
- Adversarial Inverse Reinforcement Learning Implement For Mountain Car☆36Updated 3 years ago
- ☆11Updated last year
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆290Updated last year
- Stanford CS234: Reinforcement Learning assignments and practices☆55Updated last year
- A simple implementation of Generative Adversarial Imitation Learning with PyTorch☆164Updated 3 years ago
- Source code for our paper "Sim-to-real reinforcement learning applied to end-to-end vehicle control"☆31Updated 3 years ago
- [Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"☆244Updated 5 years ago
- PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generat…☆36Updated 4 years ago
- Deep Reinforcement Learning Hands-On, 3E_Published by Packt☆269Updated 3 months ago
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆108Updated last year
- Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)☆183Updated 2 weeks ago
- The social-LSTM code for complete trajectory prediction (20 frames). In this repository, the normalized trajectory and non-normalized tra…☆9Updated 2 years ago
- ☆377Updated last year
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆158Updated 6 years ago
- Solutions to Sutton and Barto book exercises☆88Updated last year
- ☆15Updated 3 years ago
- ☆65Updated 3 years ago
- Reinforcement Learning Algorithms in FrozenLake-v1☆25Updated 6 months ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 3 years ago
- Personal short implementations of Machine Learning papers☆250Updated last year
- Reinforcement Learning and Data Collection with Carla Simulator☆36Updated 4 years ago
- This repo implements and trains Vision Transformer (VIT) on a synthetically generated dataset which has colored mnist images on texture b…☆17Updated last year
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆138Updated 5 years ago
- The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA,…☆30Updated last year
- "Deep Generative Modeling": Introductory Examples☆1,209Updated 10 months ago
- Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"☆1,138Updated last year
- Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)☆15Updated 3 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆510Updated 2 years ago
- Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]☆441Updated last year