hogowl's starred repositories
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
spacy-transformers
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
keras-tuner
A Hyperparameter Tuning Library for Keras
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
set-protocol-contracts
🎛 Set Protocol Smart Contracts
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
pytorchpipe
PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language
keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
phoenix-in-action
Code snippets and examples from the book Phoenix in Action from Manning and Geoffrey Lessel
Kervolution
Kervolution implementation using TF2.0
deeplearning-models
A collection of various deep learning architectures, models, and tips
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch