Easily create gradients under the form of a list with given-input colors
BIRT is an implementation of Beta3-irt using gradient descent.
RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.
Advanced color manipulation library for gradients and conversions
XCSF learning classifier system: rule-based evolutionary machine learning
Batch Integrated Gradients is a simple method for explaining temporal data predictions.
WAsserstein Global Gradient-free OptimisatioN (WAGGON) methods library.
Fully automated LC gradient optimization of optimal compound separation in nontargeted metabolomics
CEEMDAN-LSTM-GradientBoosting model for state-of-the-art time series forecasting
Minimal package created automatically
A flet component for gradient borders
Minimal CLI tool to create language frequency heatmap
Adaptive Momentum Gradient Descent for Regularized Poisson Regression
A package for performing stochastic gradient descent (arXiv:1710.04626) to layout graphs
Print colors and gradients in your terminal. Official github: https://github.com/ddjerqq/rgbprint
llama-index llms gradient integration
Monotonic composite quantile gradient boost regressor
just a simple gradient tool
Gradient Health training tools
Neural Network Gradient Metrics with PyTorch
A Python package for gradient colors
A JAX-based L-BFGS optimizer
Makes learning gradient descent easy
A library which Predicts the Y value(output) for given test data points using gradient descend algorithm.
A package for evaluating dimensionality reduction algorithms
Gradient Boosted Trees for RL
High throughput asynchronous reinforcement learning framework
A package for calculating shifted gradients
This module allows to display progressbar with gradient
Math parser and evaluator capable of computing gradients and Hessians.
Surrogate-based 0-th Order Global Optimization for black-box problems
Proximal Gradient Methods for Pytorch
Ingradient - A labeling and dataset management tool
A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.
A Python package for determining the structures of materials with gradient-based methods.
Tools for generating color gradient palettes and sha
A neural network architecture for building fully explainable neural network for arithmetic and gradient logic expression approximation.
A library which Predicts the Y value(output) for given test data points using gradient descent algorithm.
A package compatible with scikit-learn.
Calculations
A Policy Gradient RL agent for time series prediction using PyTorch Lightning.
Python Image Displacement Identification.
Python package for AdaS: Adaptive Scheduling of Stochastic Gradients
Influence Estimation for Gradient-Boosted Decision Trees
Gradient Boosting powered by GPU(NVIDIA CUDA)
Sionna - A hardware-accelerated differentiable open-source library for research on communication systems