973 Open source projects that are alternatives of or similar to Dawn Bench Entries

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

EfficientNetV2 implementation using PyTorch

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Spectral Normalization for Keras Dense and Convolution Layers

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

A uniform interface to run deep learning models from multiple frameworks

Bottleneck Transformers for Visual Recognition

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

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

Classification with PyTorch.

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

The implementation of Relativistic average GAN with Keras

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Develop production ready deep learning code, deploy it and scale it

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

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.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

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

PyTorch C++ inference with LibTorch

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Speech Enhancement Generative Adversarial Network in PyTorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Tutorials for deep learning

This is a python package for multi-process running.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

A small convolution neural network deep learning framework implemented in c++.

📓 deepleaning and cv notes.

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Pytorch porting of C3D network, with Sports1M weights

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Apparel detection using deep learning

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

TypeDB: a strongly-typed database

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Implementing Searching for MobileNetV3 paper using Pytorch

Hierarchical Attention Networks for document classification

A introduction to purrr

MoGA: Searching Beyond MobileNetV3

Adlik: Toolkit for Accelerating Deep Learning Inference

Open source for developer.(开发资源整理：Java，Android，算法，iOS，MacOS等等)

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Train Tesseract LSTM with make

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

三个月教你从零入门深度学习Tensorflow版配套代码