Minimal numerical computation library with TensorFlow APIs

A beautiful minimalism theme for Obsidian.

Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent

Java implementation of miniFlow (deep neural network) with examples

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min tensorflow. miao ~

micro-implementation of tensorflow-like utilities

A TypeScript port of Udacity's MiniFlow neural network framework

miniflow is a deep learning framework built from scratch using Python and NumPy, mimicking the TensorFlow API format.

miniFlow is a modular, high-performance deep learning library built entirely from scratch using NumPy.

A small NN library using Numpy based on DLND in Udacity.

MiniFlow is a lightweight workflow scripting language designed to simplify automation and task orchestration with a clean and minimal syntax.

An implementation of some basic neurons with backpropagation

Building a Neural Network from scratch

MiniFlow : Small deep learning framework based on NumPy

My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)

Miniflow - Udacity CarND Quiz

Implementation of Miniflow

Proiectul de MiniStackOverflow de la WebDev

Miniflow - Neural Network Modeling from Scratch that imitate TensorFlow

Build a workflow orchestrator from scratch. Learn distributed systems, concurrency, scheduling, and database-backed state machines. Inspired by Apache Airflow

Udacity's Self-Driving Car Miniflow project

This repository aims to help you have an Airflow installation running in Kubernetes minikube.

DeepLearning NanoDegree MiniFlow converted to typescript

Airflow like workflow automation for the command prompt.

Open source neural network library for study purpose

Miniflow lesson from Deep Learning Foundations

Udacity MiniFlow课程

A basic Tensorflow implementation

a command line task executor, puts tasks in a dag and resolve dependencies.