797 Open source projects that are alternatives of or similar to Tensorflow Open_nsfw

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

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

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

collection of utilities to use with deep learning libraries (e.g. caffe)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

MobilNet-SSD object detection in opencv 3.4.1

Lets Learn AI

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Distributed Keras Engine, Make Keras faster with only one line of code.

Caffe for Sparse and Low-rank Deep Neural Networks

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

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

A collection of Audio and Speech pre-trained models.

Open Toolkit for Painless Object Detection

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

☕️ Fast-RCNN and Scene Recognition using Caffe

Code for reproducing Manifold Mixup results (ICML 2019)

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

deep learning based speech enhancement using keras or pytorch, make it easy to use

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Implementation of Transformer Model in Tensorflow

pytorch to caffe by onnx

Papers for deep neural network compression and acceleration

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Implementation of Papers on Adversarial Examples

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

A fast Clojure Tensor & Deep Learning library

No dependency caffe replacement

Transfer learning for time series classification

AI 尬舞机

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

VDSR (CVPR2016) pytorch implementation

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

A curated list of awesome Distributed Deep Learning resources.

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

A Caffe-based implementation of very deep convolution network for image super-resolution

RAD: Reinforcement Learning with Augmented Data

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Deep Neural Network for Sentiment Analysis on Twitter

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

Примеры для курса "Программирование глубоких нейронных сетей на Python"

YOLO for object detection tasks

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Learning to Cluster. A deep clustering strategy.

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.