Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
drasmuss.github.io
Source for drasmussen.ca
hessianfree
Hessian-free optimization for deep networks
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
hyperopt_utils
A few utilities for working with hyperopt
nhrlmodel
Neural model of hierarchical reinforcement learning
keras-lmu
Keras implementation of Legendre Memory Units
keras-spiking
Spiking neuron integration for Keras
nengo
A Python library for creating and simulating large-scale brain models
nengo-dl
Deep learning integration for Nengo
drasmuss's Repositories
drasmuss/hessianfree
Hessian-free optimization for deep networks
drasmuss/nhrlmodel
Neural model of hierarchical reinforcement learning
drasmuss/drasmuss.github.io
Source for drasmussen.ca
drasmuss/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
drasmuss/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
drasmuss/hyperopt_utils
A few utilities for working with hyperopt
drasmuss/models
Models built with TensorFlow
drasmuss/numpy
Numpy main repository
drasmuss/setup-minikube
run minikube in github actions, continuous integration against Kubernetes in github actions.
drasmuss/spaun2.0
Spaun (nengo 2.0 version)
drasmuss/starlette
The little ASGI framework that shines. 🌟
drasmuss/tensorflow
Computation using data flow graphs for scalable machine learning
drasmuss/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0