mohmdelsayed / HesScale
Scalable Computation of Hessian Diagonals
☆12Updated 7 months ago
Alternatives and similar repositories for HesScale:
Users that are interested in HesScale are comparing it to the libraries listed below
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆26Updated 2 years ago
- ☆19Updated 7 months ago
- Generalised UDRL☆37Updated 2 years ago
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆24Updated 7 months ago
- PyTorch Package For Quasimetric Learning☆41Updated 3 months ago
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆19Updated 4 years ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆13Updated 7 months ago
- Repo to reproduce the First-Explore paper results☆37Updated last month
- Variational Reinforcement Learning☆16Updated 6 months ago
- ☆31Updated 9 months ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- Neuroevolution Benchmark in JAX 🦕☆38Updated last year
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆25Updated 6 months ago
- ☆16Updated 4 months ago
- TaskMet Task-driven Metric Learning for Model Learning☆18Updated 11 months ago
- Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery☆13Updated last year
- ☆13Updated 6 months ago
- ☆15Updated last year
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 3 months ago
- ☆31Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆9Updated 4 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 3 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated last year
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆73Updated last year
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆31Updated this week