patrickmineault / ml-theory-reading-list
An annotated reference list of ML theory
☆33Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ml-theory-reading-list
- The standardised environment for the hippocampus and entorhinal cortex models☆63Updated this week
- Quantify geometric intelligence in natural and artificial brains.☆48Updated 2 months ago
- Some methods for comparing network representations in deep learning and neuroscience.☆125Updated 3 months ago
- ☆50Updated 3 weeks ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆69Updated last year
- Jupyter notebooks from our weekly (or so) hackathons☆11Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023☆21Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆57Updated 5 months ago
- An ongoing journal club for the study of big ideas in neuro☆31Updated last year
- ☆23Updated 2 years ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 3 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆115Updated 3 weeks ago
- Code for verifying deep neural feature ansatz☆15Updated last year
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆21Updated 3 years ago
- Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit☆13Updated 2 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆17Updated 5 months ago
- Writing good research code☆110Updated 2 years ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated 3 weeks ago
- ☆46Updated 3 years ago
- Growing collection of scripts to summarize the scientific literature using large-language models like ChatGPT.☆112Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated last year
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆65Updated 2 months ago
- ☆19Updated 6 months ago
- ☆16Updated 11 months ago
- ☆37Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.☆42Updated 4 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆191Updated last year
- Uncertainty quantification with PyTorch☆329Updated 2 weeks ago
- Linear programming solver for paper-reviewer matching and mind-matching☆83Updated 2 years ago