272 Open source projects that are alternatives of or similar to Gen Efficientnet Pytorch

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

PyTorch to Keras model convertor

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

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Segmentation models with pretrained backbones. PyTorch.

Multi Model Server is a tool for serving neural net models for inference

BERT for Multitask Learning

A GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web

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 :

ML.NET Workshop to predict car sales prices

pytorch to caffe by onnx

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Convert tf.keras/Keras models to ONNX

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Natural Language Processing Best Practices & Examples

The PyTorch-based audio source separation toolkit for researchers

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

Data repository for pretrained NLP models and NLP corpora.

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Run PyTorch models in the browser using ONNX.js

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.

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

Classification models trained on ImageNet. Keras.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Machine learning framework for both deep learning and traditional algorithms

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

☕️ Caffe2Kit. A simple one step integration of Caffe2 for iOS.

Real-time pose estimation accelerated with NVIDIA TensorRT

Tensorboard for Caffe2

Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"

Exposes a serialized machine learning model through a HTTP API.

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Open Source Compiler Framework using ONNX as Frontend and IR

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

关注AI模型上线、模型部署

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

PyTorch to Keras model convertor

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

A collection of pre-trained RL agents using Stable Baselines3

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

Gluon to PyTorch deep neural network model converter

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

Keras implementation of BERT with pre-trained weights

No description or website provided.

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

Deep Learning Transformer models in MATLAB

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

A fast stacked hourglass network for human pose estimation on OpenVino

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Add-on package for ONNX format support in Chainer

Code for some onnxruntime projects

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala