536 Open source projects that are alternatives of or similar to Resnet Cifar10 Caffe

MobileNet-v2 experimental network description for caffe

Counting people, dog and bicycle using SSD detection and tracking.

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Predict CIFAR-10 labels with 88% accuracy using keras.

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PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

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

PyTorch to Keras model convertor

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Cifar-10 CNN implementation using TensorFlow library with 20% error.

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This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

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TrackNet for badminton tracking using tensorflow2

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

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Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Python REST API to detect images with adult content

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Source code for 1st winner of face micro-emotion competition, FG 2017.

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Various implementations and projects on CNN, RNN, LSTM, GAN, etc

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]

Deep Learning using Rectified Linear Units (ReLU)

《深度学习与计算机视觉》配套代码

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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

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Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

PyTorch implementation of CNNs for CIFAR benchmark

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code for py-R-FCN-multiGPU maintained by bupt-priv