godrays
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Command-line argument parser for bash 3.2, 4+, and 5+.
Thread-safe container for sharing data between threads
FinRL: Financial Reinforcement Learning. 🔥
For trading. Please star.
A basic implementation of NEAT (Neuroevolution of Augmenting Topologies) in C++.
Code for evolving virtual organisms (modeled as triangular meshes) with CPPN-NEAT
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
💻 C++ Functional Terminal User Interface. ❤️
Implementation of simple autoencoders networks with Keras
FasterAI: Prune and Distill your models with FastAI and PyTorch
Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
Implementation of Online Sequential Extreme Learning Machine
IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning
Extreme learning machine implemented by python3 with scikit-learn interface
An experimental API for Extreme Learning machines Neural Networks made with TensorFlow.
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
A continuous action space version of A3C LSTM in pytorch plus A3G design
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
Neural Network Evolution Playground with Backprop NEAT
Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT
Python implementation of the NEAT neuroevolution algorithm
NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation
NEAT algorithm with C++ implementation with open environment open-ai oriented