336 Open source projects that are alternatives of or similar to Go Mxnet Predictor

AI 尬舞机

convert model from mxnet to caffe without lossing precision

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Setup and customize deep learning environment in seconds.

Blind WAF identification tool

Ranking made easy

Small, dependency-free, fast Python package to infer binary file types checking the magic numbers signature

TensorFlow models accelerated with NVIDIA TensorRT

A Simple and Versatile Framework for Object Detection and Instance Recognition

🎨 A complete Pattern Matching library for TypeScript, with smart type inference.

OpenNARS for Research 3.0+

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.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

A Comprehensive Tutorial on Video Modeling

A high performance and generic framework for distributed DNN training

Understanding Convolution for Semantic Segmentation

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

recaptcha with lstm and mxnet

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet

TensorLy: Tensor Learning in Python.

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Gluon CV Toolkit

Tensorflow C++ examples for Visual Studio. Features Pose Estimation and various techniques to utilize the Tensorflow C++ interface

Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

A scalable, high-performance serving system for federated learning models

Sequence to sequence learning with MXNET

mxnet implementation of yolo and darknet2mxnet converter

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Ordinal Common-sense Inference

Train Neuronal networks to automate your home

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

TensorFlow Basic Tutorial Labs

The Triton backend for the ONNX Runtime.

Gluon implementation of EfficientNet and EfficientNet-lite

데이터 분석 모델링용 도커 이미지

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet

Pytorch-Named-Entity-Recognition-with-BERT

Functions and classes for gradient-based robot motion planning, written in Ivy.

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

Ordinal regression in Python

Chainer implementation of Dense Fusion

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

A Gluon Implement of EfficientNet

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A Unified Framework for Random Forest Prediction Error Estimation

Train a state-of-the-art yolov3 object detector from scratch!

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

Standalone TensorBoard for visualizing in deep learning

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

MXNet for CTR

AI Video Processing/Upscaling With VapourSynth in Google Colab

A collection of computer vision pre-trained models.

Image Retrieval Experiment Using Triplet Loss

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.