Python Implementations of Monte Carlo Tree Search

Prioritized Experience Replay (PER) implementation in PyTorch

🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020…

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Common used path planning algorithms with animations.

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python

A colab-style tutorial for how to build Hopfield Networks (classic and modern) and train them to memorise patterns and flags

Hopfield Networks is All You Need

Implementation of the Tolman Eichenbaum Machine in pytorch

Self-attentive Associative Memory & SAM-based Two-Memory Model

Implementation of grid cells in Python and Javascript

A simple tutorial of Variational AutoEncoders with Pytorch

Evaluate three types of task shifting with popular continual learning algorithms.

(Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Code accompanying our papers on the "Generative Distributional Control" framework

Functional Regularisation for Continual Learning with Gaussian Processes

An implementation of EWC with PyTorch

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"

Tutorial: Statistical Relational Learning with Google TensorFlow

Easily set Mac Retina display to higher unsupported resolutions

Materials for RNN tutorial @ Harvard-MIT Theoretical and Computational Neuroscience Journal Club

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。