facebookresearch / exca
Exca - Execution and caching tool for python
☆75Updated this week
Alternatives and similar repositories for exca:
Users that are interested in exca are comparing it to the libraries listed below
- ☆149Updated 6 months ago
- Running Jax in PyTorch Lightning☆86Updated 2 months ago
- TorchDR - PyTorch Dimensionality Reduction☆94Updated last week
- ☆78Updated 10 months ago
- Code for minimum-entropy coupling.☆31Updated 7 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆151Updated 4 years ago
- A framework for conducting machine learning experiments in python☆38Updated 2 months ago
- A State-Space Model with Rational Transfer Function Representation.☆77Updated 9 months ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆69Updated last year
- ☆37Updated 2 years ago
- ☆26Updated 3 years ago
- ☆111Updated 2 weeks ago
- ☆60Updated last year
- Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023☆22Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆42Updated 4 years ago
- ☆54Updated 3 months ago
- PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.☆8Updated 2 years ago
- ☆59Updated 2 years ago
- Official JAX implementation of xLSTM including fast and efficient training and inference code. 7B model available at https://huggingface.…☆82Updated last month
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆109Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- Because we don't want a jupyter notebook mess...☆61Updated 2 months ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 2 years ago
- Uncertainty quantification with PyTorch☆337Updated this week
- A MAD laboratory to improve AI architecture designs 🧪☆102Updated 2 months ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆164Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆95Updated last month
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 8 months ago
- Repository for the 2023 NeurIPS paper "Scaling laws for language encoding models in fMRI"☆23Updated 8 months ago
- 🧱 Modula software package☆145Updated this week