patrickmineault / ml-theory-reading-listLinks
An annotated reference list of ML theory
☆34Updated 2 years ago
Alternatives and similar repositories for ml-theory-reading-list
Users that are interested in ml-theory-reading-list are comparing it to the libraries listed below
Sorting:
- A tool for AI-assisted meta-review of scientific papers☆96Updated last month
- A Transformer-inspired model of the brain☆21Updated 7 months ago
- Growing collection of scripts to summarize the scientific literature using large-language models like ChatGPT.☆113Updated 2 years ago
- Topographic Deep Artificial Neural Networks☆52Updated 8 months ago
- The standardised environment for the hippocampus and entorhinal cortex models☆71Updated this week
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated this week
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 3 weeks ago
- A unified Python package that standardizes existing implementations of similarity measures to faciliate comparisons across studies.☆28Updated 7 months ago
- An open-source book on building better code for science using AI☆21Updated last week
- Writing good research code☆117Updated 3 years ago
- ☆174Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆139Updated 11 months ago
- Code for verifying deep neural feature ansatz☆19Updated 2 years ago
- The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout…☆46Updated this week
- An ongoing journal club for the study of big ideas in neuro☆33Updated 2 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- Python package for extracting representations from state-of-the-art computer vision models☆168Updated last month
- ☆81Updated 5 months ago
- Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.☆24Updated 2 years ago
- Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit☆14Updated 2 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated 3 months ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 4 years ago
- ☆61Updated 6 months ago
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆136Updated this week
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆69Updated this week
- ☆19Updated 7 months ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 8 months ago
- Uncertainty quantification with PyTorch☆362Updated 3 months ago
- Piece-wise Linear curves converted to point-clouds, analysed with Persistent Homology, represented as HyperGraphs.☆16Updated 3 months ago