amirabbasasadi / RockyMLLinks
⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
☆19Updated 2 years ago
Alternatives and similar repositories for RockyML
Users that are interested in RockyML are comparing it to the libraries listed below
Sorting:
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- A neural network hyper parameter tuner☆30Updated last year
- Companion code for a tutorial on using Hydra.☆30Updated 4 years ago
- This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.☆15Updated 3 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Nvidia contributed CUDA tutorial for Numba☆256Updated 3 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆37Updated 3 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- A tutorial on JAX (https://github.com/google/jax/)☆47Updated 6 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Experimental version of jxbz/agd implementing support for bias terms, affine parameters, transformers, etc.☆11Updated 2 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Benchmarking PyTorch 2.0 different models☆20Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆71Updated last month
- Simplified implementation of UMAP like dimensionality reduction algorithm☆50Updated 9 months ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- Recursive Leasting Squares (RLS) with Neural Network for fast learning☆56Updated last year
- Quantification of Uncertainty with Adversarial Models☆30Updated 2 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Toy genetic algorithm in Pytorch☆53Updated 4 months ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Neat Bayesian machine learning examples☆58Updated 2 months ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago
- Simulate Anderson localization and tight binding on graphs.☆14Updated last year
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆17Updated 3 years ago