Anders Huss's repositories
dirhash-python
Python module and CLI for hashing of file system directories based on the Dirhash Standard.
DLMeetupSept2015
Tutorial on how to get started with Recurrent Neural Networks using Blocks and Fuel.
adversarial-autoencoder
Theano/Blocks implementation of the paper "Adversarial Autoencoders" by Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow (http://arxiv.org/abs/1511.05644)
time-series-h5py
Abstraction layer on top of h5py for storing time-indexed Pandas data (Series, DataFrame). Focus is fast retrieval of range and index queries but should also support flexible modification of data.
deep-dynamic-graphs
Some tutorials put together for talk at StockholmAI Study Group 2017-06-01: "Application of RNNs to Multiple Asynchronous Event-Driven Data Streams"
stockholm-ai-reading-group
Temporary place for code/notebooks/slides from Stockholm-AI reading group.
url-generation
RNN generation of phishy/non-phisy URL:s.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
data-mining-algorithms
Implementation of basic data mining algorithms for educational purpose.
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
intervaltree
A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.
mock-python-lib
Mock python library for testing out travis and publishing to PyPI server
PhasedLSTM-Keras
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
py-sci-ml-dl
Just listing some typical scientific, machine learning and deep learning libraries (pip requirements.txt)
tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow-onnx
Convert TensorFlow models to ONNX
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.