124 Open source projects that are alternatives of or similar to Prosr

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

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

Natural Language Processing Best Practices & Examples

Address book for computer vision models.

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

A Robustly Optimized BERT Pretraining Approach for Vietnamese

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

Detect various irregularities of a product as it moves along a conveyor belt.

PyTorch implementation of "Pyramid Scene Parsing Network".

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

A collection of pre-trained RL agents using Stable Baselines3

Pretrained TorchVision models on CIFAR10 dataset (with weights)

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

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

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

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Data repository for pretrained NLP models and NLP corpora.

Optimus: the first large-scale pre-trained VAE language model

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

ImageNet pre-trained models with batch normalization for the Caffe framework

Generic Foreground Segmentation in Images

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Keras implementation of BERT with pre-trained weights

Pre-Trained Models for ToD-BERT

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Semantic text segmentation. For sentence boundary detection, compound splitting and more.

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Breast density classification with deep convolutional neural networks

PyTorch and Tensorflow functional model definitions

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Easily train or fine-tune SOTA computer vision models with one open source training library

A TensorFlow implementation of the Mnemonic Descent Method.

Segmentation models with pretrained backbones. PyTorch.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

An open source implementation of CLIP.

Pretrained BERT model for analysing COVID-19 Twitter data

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

High-resolution breast cancer screening with multi-view deep convolutional neural networks

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

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 :

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

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

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

Real-time pose estimation accelerated with NVIDIA TensorRT

Meta-repository of screening mammography classifiers

Pytorch-Named-Entity-Recognition-with-BERT

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

This repo contains implementation of different architectures for emotion recognition in conversations.

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Protein Language Model