194 Open source projects that are alternatives of or similar to AdaBound-tensorflow

torch-optimizer -- collection of optimizers for Pytorch

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Adam, NAdam and AAdam optimizers

Add gradient noise to any Keras optimizer

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

A development environment for robust and global optimization

Tensorflow implementation of adversarial auto-encoder for MNIST

A library for portfolio optimization algorithms with python interface.

A realtime digit OCR on the browser using Machine Learning

🛠 Versatile tool to optimize Windows

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

Experiments on cluttered mnist dataset with Tensorflow.

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

One-Shot Learning with Triplet CNNs in Pytorch

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.

Create adversarial images to fool a MNIST classifier in TensorFlow

Tensorflow 2.0 implementation of Adversarial Autoencoders

A post-installation batch script for Windows

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

SQL optimizer and rewriter. - SQL 优化、重写器(辅助 SQL 调优)。

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Convolutional Neural Network with CUDA (MNIST 99.23%)

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

Over-engineered Brainfuck optimizing compiler and interpreter

In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Implementation of key concepts of neuralnetwork via numpy

Gradient accumulation for Keras

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Handwritten text to synths!

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Easy-to-use AdaHessian optimizer (PyTorch)

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

TensorBasicModel

Tensorflow-example：使用MNIST训练模型，并识别手写数字图片

Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework

Generative Adversarial Networks in TensorFlow 2.0

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

LAMB Optimizer for Large Batch Training (TensorFlow version)

A ToyDB (for beginner) based on MIT 6.830 and CMU 15445

PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)

The only storage saving app that actually works! :D

Keras MNIST for Handwriting Detection

A modified extractor for the CROHME handwritten math symbols dataset.

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

horoscope is an optimizer inspector for DBMS.

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Playing with MNIST. Machine Learning. Generative Models.

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Stratum <-> Stratum Proxy and optimizer for ethminer

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

手写数字识别。利用Tensorflow和MNIST实现的一个简单的手写数字识别程序。

Multi-Classification on dataset of MNIST

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

A Flask web app for handwritten digit recognition using machine learning

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Neural network library written in C and Javascript