neural-network-scratch VS Spectrum

Compare neural-network-scratch vs Spectrum and see what are their differences.

neural-network-scratch

build a neural network to show as a demonstration on inner workings of a neural network (by ishubhamsingh2e)
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neural-network-scratch Spectrum
1 2
4 44
- -
0.0 0.0
almost 2 years ago over 3 years ago
Python Python
MIT License MIT License
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neural-network-scratch

Posts with mentions or reviews of neural-network-scratch. We have used some of these posts to build our list of alternatives and similar projects.

Spectrum

Posts with mentions or reviews of Spectrum. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-network-scratch and Spectrum you can also consider the following projects:

Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

Gradient-Centralization-TensorFlow - Instantly improve your training performance of TensorFlow models with just 2 lines of code!

textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

mathics-core - An open-source Mathematica. This repository contains the Python modules for WL Built-in functions, variables, core primitives, e.g. Symbol, a parser to create Expressions, and an evaluator to execute them.

Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs

FuncNotify - Automatically notifies you of start and completion using environment variables

ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs

Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

ydata-synthetic - Synthetic data generators for tabular and time-series data

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder