927 Open source projects that are alternatives of or similar to Cppflow

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Binary Image Classification in TensorFlow

TensorFlow implementation of a Neural Turing Machine

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Machine Learning inference engine for Microcontrollers and Embedded devices

基于Tensorflow2开发的优秀扩展包及项目

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A collection of Natural language processing pre-trained models.

This is a repository for an object detection inference API using the Tensorflow framework.

Acceleration package for neural networks on multi-core CPUs

Tensorflow 免费中文视频教程，开源代码，免费书籍.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

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머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Tensor Flow implementation for Android

Simpler app for tensorflow object detection API

Largest list of models for Core ML (for iOS 11+)

Age + Gender Estimation on Android with TensorFlow Lite

Latent Dirichlet Allocation

🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

An open-source platform for automating tasks using machine learning models

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Generative Adversarial Networks in TensorFlow 2.0

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

How to use TensorLayer

Segmentation models with pretrained backbones. PyTorch.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

DECA: Detailed Expression Capture and Animation

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Tensorflow Implementation of Yahoo's Open NSFW Model

A simple & fluent Android ORM, how can it be easier ? RxJava2 compatible

Machine Learning Practical course repository

Tutorials for TensorFlow APIs the official documentation doesn't cover

Laravel Plans is a package for SaaS apps that need management over plans, features, subscriptions, events for plans or limited, countable features.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

DEPRECATED: Depth Map Estimation from Monocular Images

Tensorflow implementation of CycleGAN

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Probabilistic reasoning and statistical analysis in TensorFlow

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

A simple schema/attributes library built on top of modern JavaScript

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Blind WAF identification tool

Implementation of Transformer Model in Tensorflow

Plain python implementations of basic machine learning algorithms

High-level batteries-included neural network training library for Pytorch

Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation :

High-quality implementations of standard and SOTA methods on a variety of tasks.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Tensors and differentiable operations (like TensorFlow) in Rust

pytorch 包教不包会

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Snips NLU rust implementation

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

AI 尬舞机