401 Open source projects that are alternatives of or similar to deepstreet

Autonomous driving neural network comparison tool

YOLO for object detection tasks

Focal Loss of multi-classification in tensorflow

Forecasting Solar Power: Analysis of using a LSTM Neural Network

ML Research paper summaries, annotated papers and implementation walkthroughs

A Deep-Learning multi-purpose chatbot made using Python3

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

Code for the CVPR 2020 paper "A Multi-task Mean Teacher for Semi-supervised Shadow Detection"

Jupyter notebook series for machine learning and deep learning.

[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.

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

Type4Py: Deep Similarity Learning-Based Type Inference for Python

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

Deep Learning for Visual-Inertial Odometry

DeepDetect performance sheet

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.

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

3D scene graph generator implemented in Pytorch.

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

My AI security testing projects

CNN model inference benchmarks for some popular deep learning frameworks

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

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Calculate Flops for CNN

Research internship - Image segmentation by superpixels based on PyTorch

Optical character recognition Using Deep Learning

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

Sparse learning in TensorFlow using data acquired from Spark.

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

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Head and Person detection using yolov5. Detection from crowd.

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

Live Training by Packt, with Jeffrey Yau.

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

Deep Learning Models implemented in python.

Sentiment Analysis: Deep Bi-LSTM+attention model

Tensorflow implementation for Active Shift Layer(ASL)

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Kaggle solutions

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

yet another custom data science template via cookiecutter

Research papers on ML for security

低代码序列数据处理框架，最短两行即可完成训练任务！

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

KNIME Deep Learning Integration

code and supplementary materials for a series of Medium articles about the BERT model

Online Hand Writing Recognition using BLSTM

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

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

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

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.

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

Automated deep learning!

Final Project of the Udacity AI Programming with Python Nanodegree

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

A flask website for style transfer

Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

No description or website provided.

This repository contains notes and projects of Data scientist track from dataquest course work.

Motion Planning Networks