1350 Open source projects that are alternatives of or similar to Neuralet

Research platform for 3D object detection in PyTorch.

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

YOLO object detector for Movidius Neural Compute Stick (NCS)

An IDE environment for ROS development.

This is a repo for my master thesis research about the Fusion of Visual SLAM and GPS. It contains the research paper, code and other interesting data.

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

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Face detection using deep learning.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Latex code for making neural networks diagrams

👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型

Marvel - Face Recognition With Android & OpenCV

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Speaker independent emotion recognition

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Train and visualize Hierarchical Attention Networks

The Time Series Visualization Tool that you deserve.

Face mask detection system using Deep learning.

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Real-time people tracking using a 3D LIDAR

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Deep learning codes and projects using Python

A Python Library for Document Layout Understanding

ROS wrapper for Kimera-VIO

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Quadcopter path planning using RRT* and minimum jerk trajectory generation

Distributed Keras Engine, Make Keras faster with only one line of code.

Scale Normalization for Image Pyramids

Archived - not answering issues

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A web-based control center for ROS robots.

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Batch normalization fusion for PyTorch

How to use TensorFlow

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

OpenManipulator for controlling in Gazebo and Moveit with ROS

1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller

HDLTex: Hierarchical Deep Learning for Text Classification

YoloV3 Implemented in Tensorflow 2.0

Deep Learning with TensorFlow by Packt

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Binary and Categorical Focal loss implementation in Keras.

This is Andrew NG Coursera Handwritten Notes.