Stars
A standard framework for modelling Deep Learning Models for tabular data
Transformers Trading Example 01
This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning
Fast and Accurate ML in 3 Lines of Code
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Easily build Keras models from code or from a configuration file
Scratch style drag and drop Deep Learning model builder for Keras.
MSc AI project on variational recurrent networks by J. Chung et al.
A swarm of LLM agents that will help you test, document, and productionize your code!
Build high-performance AI models with modular building blocks
[KAIST-CS371] Machine Learing Term Projoect
4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Population optimization algorithms
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Visualizer for neural network, deep learning and machine learning models
Open standard for machine learning interoperability
A simple python package to print a keras NN training history.
Arena-Hard-Auto: An automatic LLM benchmark.
This repo contains the code for neural network weight optimisation using 4 evolutionary algorithms.
Training a CNN with genetic algorithm using the classic Iris dataset
Training Keras Models by the Genetic Algorithm using PyGAD
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis