gomerudo / nas-envLinks
A simple OpenAI Gym environment for Neural Architecture Search (NAS)
☆31Updated 5 years ago
Alternatives and similar repositories for nas-env
Users that are interested in nas-env are comparing it to the libraries listed below
Sorting:
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- Understanding RL vision Distill article☆24Updated 2 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 3 years ago
- Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update☆75Updated last year
- human-readable solution of an arbitrary optimization problem through Reinforcement Learning☆12Updated last month
- Evolution Strategy Library☆55Updated 5 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Distributed Bayesian Optimization☆23Updated 5 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- ☆42Updated 5 years ago
- List of awesome JAX resources☆13Updated 3 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 8 months ago
- Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia …☆47Updated 4 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Tutorial on the Convolutional Tsetlin Machine☆53Updated 4 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆78Updated 5 years ago
- I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in …☆20Updated 2 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.☆14Updated 4 years ago
- Large dataset storage format for Pytorch☆45Updated 4 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Easily serialize dataclasses to and from tensors (PyTorch, NumPy)☆18Updated 4 years ago
- Evolving deep neural network agents using Genetic Algorithms☆69Updated 6 years ago
- A barely barebone NumPy implementation of Hierarchical Temporal Memory.☆11Updated 2 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 3 months ago