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Tensorflow Examples ⭐ 43,109

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Data Science Ipython Notebooks ⭐ 25,668

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Pytorch Handbook ⭐ 18,594

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

Keras Js ⭐ 4,879

Run Keras models in the browser, with GPU support using WebGL

[CVPR2020] Adversarial Latent Autoencoders

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Pipcook ⭐ 2,483

Machine learning platform for Web developers

Alibi ⭐ 2,257

Algorithms for explaining machine learning models

Azureml Examples ⭐ 1,442

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Grenade ⭐ 1,430

Deep Learning in Haskell

Capsule Networks ⭐ 1,419

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Awesome Tensorflow Chinese ⭐ 1,249

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861

Forge ⭐ 1,224

A neural network toolkit for Metal

Keract ⭐ 1,030

Layers Outputs and Gradients in Keras. Made easy.

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Descriptive Deep Learning

Boltzmann Machines ⭐ 792

Boltzmann Machines in TensorFlow with examples

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Deep learning with spiking neural networks (SNNs) in PyTorch.

Deep Svdd Pytorch ⭐ 538

A PyTorch implementation of the Deep SVDD anomaly detection method

Free Spoken Digit Dataset ⭐ 518

A free audio dataset of spoken digits. Think MNIST for audio.

Androidtensorflowmnistexample ⭐ 460

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Capsnet ⭐ 422

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Capsnet Pytorch ⭐ 409

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Workshopscipy ⭐ 396

A workshop for scientific computing in Python. ( December 2017 )

Fast Pytorch ⭐ 299

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Create Ml App ⭐ 239

Template Makefile for ML projects in Python.

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Cnn Svm ⭐ 151

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Gan Vae Pretrained Pytorch ⭐ 148

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

Tensorflow Js Examples ⭐ 144

Working on some new examples with tensorflow.js and p5.js

Merlin.jl ⭐ 138

Deep Learning for Julia

Neuralnet Handwriting Ios ⭐ 132

A handwriting recognition example for iOS using NeuralNet

Machine Learning Using K8s ⭐ 121

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

Deeplearning ⭐ 120

Deep Learning From Scratch

Tensorflowframework ⭐ 119

An extendable framework for training neural network models using TensorFlow.

Tensorflow Phased Lstm ⭐ 118

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Pytsetlinmachine ⭐ 118

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Slick Dnn ⭐ 116

Tiny and elegant deep learning library

Deep Svdd ⭐ 116

Repository for the Deep One-Class Classification ICML 2018 paper

Generate_to_adapt ⭐ 115

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Realtime Digitrecognition ⭐ 112

RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.

Lsoftmax Pytorch ⭐ 110

The Pytorch Implementation of L-Softmax

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Visualml ⭐ 106

Interactive Visual Machine Learning Demos.

Keras Cloud Ml Engine ⭐ 106

Adventures using keras on Google's Cloud ML Engine

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Tensorflow ⭐ 101

从入门到精通！学习tensorflow的过程，记录一些模型:mnist_ml LeNet cifar10_cnn

Explore high-dimensional datasets and how your algo handles specific regions.

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

A repository for recording the machine learning code

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Foolsgold ⭐ 80

A sybil-resilient distributed learning protocol.

Deep Learning Tensorflow Book Code ⭐ 78

[『텐서플로로 배우는 딥러닝』, 솔라리스, 영진닷컴, 2018] 도서의 소스코드입니다.

Jestimator ⭐ 77

Amos optimizer with JEstimator lib.

A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.

Detecting Adversarial Samples ⭐ 70

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Visualizingndf ⭐ 61

Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

Mnist Coreml ⭐ 60

Predict handwritten digits with CoreML

🔮 Use TensorFlow models in Go to evaluate Images (and more soon!)

This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.

Caffe2 C Demo ⭐ 58

Show how to use Caffe2 in C++ through a simple LeNet sample project

Tensorflow Emscripten ⭐ 56

VERY MUCH A WORK IN PROGRESS & ACTIVE RESEARCH PROJECT -- DO NOT USE.

A C++ implementation to create, visualize and train Convolutional Neural Networks

Fast Tsetlin Machine With Mnist Demo ⭐ 52

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

Machinelearning ⭐ 52

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Multimodal Vae Public ⭐ 52

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Machine learning in Rust.

Gopfield ⭐ 49

Hopfield neural networks in Go

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Ml_practice ⭐ 47

ML_Practice -Python(with Tensorflow)

Gan 70 Lines Of Julia ⭐ 47

A Knet implementation of MLP GAN for MNIST data.

Denser Models ⭐ 47

Ml In Tf ⭐ 45

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Implementation of some basic GAN architectures in Keras

Minerva Training Materials ⭐ 41

Learn advanced data science on real-life, curated problems

Ruby Dnn ⭐ 40

ruby-dnn is a ruby deep learning library.

Svhn Cnn ⭐ 40

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Mnist For Numpy ⭐ 39

A simple, easy to use MNIST loader written in Python 3

Implementation of Deep Convolutional Generative Adversarial Networks on MNIST database in Keras

Pytsetlinmachineparallel ⭐ 35

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

Information Dropout ⭐ 34

Implementation of Information Dropout

Adasoptimizer ⭐ 33

ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Mnist Tflite ⭐ 31

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

Neural Network From Scratch ⭐ 29

Implementation of a neural network from scratch in python.

Cdcgan Keras ⭐ 29

Conditional Deep Convolutional GAN

Azureml Sdk Fashion ⭐ 29

A demo and code repository showing the use of the azureml-sdk to move from creating scripted models on your dev machine to using cloud compute targets, analysing your experiment runs and hosting your models in containers

Continual_learning_data_former ⭐ 28

A pytorch compatible data loader to create sequence of tasks for Continual Learning

Mnist_by_zip ⭐ 28

Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)

Puttingabuginml ⭐ 28

Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz

Digit_recognizer ⭐ 27

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

Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.

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