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RAG that intelligently adapts to your use case, data, and queries
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
Obsidian Weread Plugin is a plugin to sync Weread(微信读书) hightlights and annotations into your Obsidian Vault.
A curated repository of Neuro-AI papers.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects
Ladder Variational Autoencoders (LVAE) in PyTorch
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
A repository collating interesting and/or influential predictive coding papers
Ultimate repo for PC theory code for neurips submission
Repository for code for paper: "Backpropagation at the infinitesimal inference limit of energy based models: unifying predictive coding, equilibrium propagation, and contrastive hebbian learning"
Recurrent predictive coding networks for associative memory employing covariance learning
A PyTorch framework for prediction of tertiary protein structure
[ICML'21] Improved Contrastive Divergence Training of Energy Based Models
Energy-based models for atomic-resolution protein conformations
This is the repository hosting the R scripts of the book "Mathematical Foundations of Reinforcement Learning" written by Yujun at Jiangxi Normal University.
This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."
This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representation of Ligands and 3D Structure of Protein Binding Sites"
Official Repository for the Uni-Mol Series Methods
Release for Improved Denoising Diffusion Probabilistic Models
Implementation of the Kdeep Paper