419 Open source projects that are alternatives of or similar to EasySparse

TensorFlow template application for deep learning

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Type4Py: Deep Similarity Learning-Based Type Inference for Python

低代码序列数据处理框架，最短两行即可完成训练任务！

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

ML Research paper summaries, annotated papers and implementation walkthroughs

Python wrapper around GraphBLAS

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.

Efficient matrix representations for working with tabular data

A Python package for geometric transformations of images for data augmentation in deep learning

yet another custom data science template via cookiecutter

Motion Planning Networks

基于LibSVM实现的验证码识别，通过对验证码图片进行二值化、去噪、切割等处理后，对每个字符进行识别。识别过程采用LibSVM来实现。可用于识别网站登录的验证码。

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

An open-source Python package for making computer vision and image processing simpler

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Sentiment Analysis: Deep Bi-LSTM+attention model

[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

Autonomous driving neural network comparison tool

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

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

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

FFSVM stands for "Really Fast Support Vector Machine"

3D scene graph generator implemented in Pytorch.

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

YOLO for object detection tasks

Focal Loss of multi-classification in tensorflow

My AI security testing projects

Optical character recognition Using Deep Learning

KNIME Deep Learning Integration

A Deep-Learning multi-purpose chatbot made using Python3

Online Hand Writing Recognition using BLSTM

Combining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks

Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.

CNN model inference benchmarks for some popular deep learning frameworks

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Head and Person detection using yolov5. Detection from crowd.

Automated deep learning!

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Live Training by Packt, with Jeffrey Yau.

Deep leraning cryptocurrency prediction with blockchain-based dataset

An image classification app boilerplate to serve your deep learning models asap!

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Deep Learning Models implemented in python.

Implementation of key concepts of neuralnetwork via numpy

딥러닝 학습 자료를 모아두고 여러 사람이 참고하여 학습할 수 있도록 돕습니다.

Introduction to Deep Learning: Chainer Tutorials

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The code of Switchable Normalization for object detection based on Detectron.pytorch.

深度学习与股票分析预测

Extending Keras to support tfrecord dataset

Train a 4-layer Convolutional Neural Network to detect trigger word

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

Research internship - Image segmentation by superpixels based on PyTorch