training-algorithms

There are 0 repository under training-algorithms topic.

evanbernard / MiniNeuralNets
A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.
neural-network backpropagation genetic-algorithm perceptrons weight-adjustment training-algorithms
Language:Python 21
Emperor-WS / PyEmber
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
adam-optimizer artificial-intelligence autograd backpropagation convolutional-neural-networks cupy deep-learning deep-learning-framework deep-learning-library deep-neural-networks feedforward-neural-network genetic-algorithm gradient-descent neural-network numpy optimizer perceptrons python pytorch training-algorithms
Language:Python 10
GishB / GeneralAlgorithms
Personal algorithmic task solutions saved from platforms like Yandex.Context, CodeWars and Karpov.Courses / Решене олимпиадных задач на платформе Яндекс.Контекст, CodeWars, Karpov.Courses
algorithm-challenges training-algorithms
Language:Jupyter Notebook 4
bharathsudharsan / ECML-Tutorial-ML-Meets-IoT
Repository of the ECML PKDD 2021 tutorial title 'Machine Learning Meets Internet of Things: From Theory to Practice'
tinyml edge-computing iot-devices self-learning optimization training-algorithms efficient-inference machine-learning arm-cortex-m4 arm-cortex-m0 quantization pruning tflite graph-optimization cmsis-nn
Language:Jupyter Notebook 1
CJHJ / pfn-intern-ml-task-2019
My take on PFN Internship ML Task 2019
adam evaluation graphs numpy reproduction training-algorithms
Language:Python

training-algorithms

evanbernard / MiniNeuralNets

Emperor-WS / PyEmber

GishB / GeneralAlgorithms

bharathsudharsan / ECML-Tutorial-ML-Meets-IoT

CJHJ / pfn-intern-ml-task-2019