Popular GitHub Repositories for Coordinate Descent

Gorgonia is a library that helps facilitate machine learning in Go.

A PyTorch Library for Meta-learning Research

Fast and Easy Infinite Neural Networks in Python

Low code tool to rapidly build and coordinate multi-agent teams

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

The simplest form of an artificial neural network explained and demonstrated.

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

[NeurIPS 2024] MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Machine learning algorithms in Dart programming language

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

InfiniteBoost: building infinite ensembles with gradient descent

Lesson material on data science and machine learning topics/concepts