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a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

adl2strips

ADL to STRIPS converter from Joerg Hoffmann

anml

A Neuromodulated Meta-Learning algorithm

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brain-tokyo-workshop

🧠🗼

c-swm

Code for ICLR 2020 submission "Contrastive Learning of Structured World Models"

clmtrackr

Javascript library for precise tracking of facial features via Constrained Local Models

currennt

CURRENNT -- CUDA-enabled machine learning library for recurrent neural network

cuv

Matrix library for CUDA in C++ and Python

data.augmentation

Toolchain for data augmentation in Python, from video cropping to image generation.

deepfovea

Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

diffusionvae

dmt.test

This is just a test

downward

The Fast Downward domain-independent classical planning system

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

echo-state-networks

Echo State Networks with TensorFlow

echostatenetworks

Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

fast.fhog

Implementation for Fast Multi-Scale fHOG Feature Extraction Using Histogram Downsampling

fnn

Embed strange attractors using a regularizer for autoencoders

forbiditerative

ForbidIterative planners for top-k, top-quality, and diverse planning problems

ganlatentdiscovery

The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

gmm-torch

Gaussian mixture models in PyTorch.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hopfield-layers

Hopfield Networks is All You Need

htmcla

A C++ implementation of Numenta's Hierarchical Temporal Memory (HTM) Cortical Learning Algorithm (CLA). Uses Qt for user interface.