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a2oc_a2c

PyTorch implementation of Advantage Actor-Critic (A2C), Asynchronous Advantage Option-Critic (A2OC), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

active_inference_successor_representations

repository for Successor Representations IWAI paper

ai-feynman

ai_forex_fisichella_garolla

alm

Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective

analyzingkgembeddings

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

ancde

aosvm

An implementation of Adaptive One-Class Support Vector Machine

apc

arb_opp_dex

Code repository for Bachelor's Thesis Arbitrage Opportunities on Decentralized Exchanges

asymmetric-sac-vae

Asymmetric SAC+VAE for tidy a desk

attentionneuron.github.io

attributedsbm

Fits an attributed stochastic block model for networks with multiple continuous attributes

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-knowledge-graph

A collection of research on knowledge graphs

bayespa

Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]

benchmarking-gnns

Repository for benchmarking graph neural networks

beta-vae

Pytorch implementation of β-VAE

bigartm

Fast topic modeling platform

bio_corex

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

birt-dukascopy

PHP scripts for downloading Dukascopy tick data.

blokboi

A fast sandbox block game for testing strategic AI.

boostgapfill

brain-cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its ev

brain-tokyo-workshop

🧠🗼

c-dsvae

Contrastively Disentangled Sequential Variational Audoencoder

caches

LRU, LFU, FIFO cache C++ implementations

calibrated-quantile-uq

Training quantile models

cappronet_tf

Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018