398 Open source projects that are alternatives of or similar to deeplearning

Deep Learning for Visual-Inertial Odometry

Simple mmdetection CPU inference

ML Research paper summaries, annotated papers and implementation walkthroughs

An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet

Research internship - Image segmentation by superpixels based on PyTorch

Deep Learning Based Android Malware Detection Framework

Calculate Flops for CNN

No description or website provided.

Autonomous driving neural network comparison tool

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Type4Py: Deep Similarity Learning-Based Type Inference for Python

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

CNN model inference benchmarks for some popular deep learning frameworks

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

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

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

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.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

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.

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Motion Planning Networks

Speech Enhancement Generative Adversarial Network in PyTorch

Implementation of key concepts of neuralnetwork via numpy

A small convolution neural network deep learning framework implemented in c++.

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

Hierarchical Attention Networks for document classification

Introduction to Deep Learning: Chainer Tutorials

It is open source ebook about TensorFlow kernel and implementation mechanism.

Focal Loss of multi-classification in tensorflow

Curated list of Python resources for data science.

DeepLearning using Keras with R

Develop production ready deep learning code, deploy it and scale it

3D scene graph generator implemented in Pytorch.

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Personalized Query Completion

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

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

Open source for developer.(开发资源整理：Java，Android，算法，iOS，MacOS等等)

Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement / Video Compression Artifact Reduction

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

YOLO for object detection tasks

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

Opensource Korean chatbot framework

[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.

Learn OpenCV : C++ and Python Examples

Rembg Video Virtual Green Screen Edition

Deep Reinforcement Learning for de-novo Drug Design

My AI security testing projects

An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

COX Proportional risk model and survival analysis implemented by tensorflow.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Forecasting Solar Power: Analysis of using a LSTM Neural Network

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

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

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

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

Head and Person detection using yolov5. Detection from crowd.

Online Hand Writing Recognition using BLSTM

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.