819 Open source projects that are alternatives of or similar to flexinfer

Paper notes in deep learning/machine learning and computer vision

all kinds of text classification models and more with deep learning

Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.

Create and manage PE node groups as resources.

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Data augmentation for NLP, presented at EMNLP 2019

Caffe: a fast open framework for deep learning.

Gesture Recognition using TensorFlow

Detect the programming language of a source code

A Python package for time series classification

Classifying time series using feature extraction

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

a standard filetree for /r/datacurator [ and r/datahoarder ]

[ICLR2022] official implementation of UniFormer

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

A scikit-learn based module for multi-label et. al. classification

SOTA Semantic Segmentation Models in PyTorch

Deep neural network framework for multi-label text classification

Code and Resources for "Applied Machine Learning"

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.

Statistical Machine Intelligence & Learning Engine

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

https://www.kaggle.com/c/humpback-whale-identification

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Examples use case of PHP-ML library.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🤖 A portable, header-only, artificial neural network library written in C99

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

A Structured Self-attentive Sentence Embedding

Semantic-TSDF for Self-driving Static Scene Reconstruction

food image to recipe with deep convolutional neural networks.

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Darknet2ncnn converts the darknet model to the ncnn model

Implementation of State-of-the-art Text Classification Models in Pytorch

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Log any method call of object in Objective-C

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Implementation of EfficientNet model. Keras and TensorFlow Keras.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language