HazyResearch / Accelerated-PCALinks
Accelerated Stochastic Power Iteration with Momentum
☆9Updated 7 years ago
Alternatives and similar repositories for Accelerated-PCA
Users that are interested in Accelerated-PCA are comparing it to the libraries listed below
Sorting:
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆30Updated 5 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- List of awesome JAX resources☆13Updated 2 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- Jax SSM Library☆49Updated 2 years ago
- A set of simple tutorial programs for quantum computing including a game, Fly Unicorn.☆14Updated 5 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- ☆30Updated 3 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- High-performance tokenized language data-loader for Python C++ extension☆13Updated last year
- Automation tools for Python benchmarking☆19Updated 6 years ago
- Code to reproduce the results of 👇☆18Updated 2 years ago
- Visualize neural networks using TikZ in Julia☆15Updated 6 months ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Repository of models in Pyro☆29Updated last year
- Unitary Evolution Recurrent Neural Network☆26Updated 3 years ago
- AA120Q Course Materials☆29Updated 6 months ago