Dipali290

COD

Towards Consistent Object Detection via LiDAR-Camera Synergy (official code SMC2024)

RNN_LSTM-on-Energy-Data-

RNN_LSTM Implementation on open source energy data using Python 3.0 with Tensorflow back end

ML-based-Energy-Consumption-Prediction

The code is an LSTM Recurrent Neural Network that predicts energy consumption based on the usage over the past 60 days.

BayesianLSTM

Bayesian LSTM Implementation in PyTorch

forecasting-energy-consumption-LSTM

Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in real time.

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

JMODT

Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving

CLOCs

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

Sparse_Pooling

SHPL: Fusing Bird's Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection

3d-object-tracking-lidar-camera

3D Object Tracking with time-to-collision (TTC) estimation using Camera and Lidar for collision avoidance system in autonomous vehicles.

Sensor-Fusion-Lidar-Object-Detection

Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)

kitti_ros

A ROS-based player to replay KiTTI dataset. http://www.cvlibs.net/datasets/kitti/

ADAS-Car-using-Raspberry-Pi

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

AD_Sensor_Fusion

Sensor Fusion of Perception sensors ( Camera, Lidar and Radar) in Autonomous Driving

PCV

Open source Python module for computer vision

SimpleGAN

AugLy

A data augmentations library for audio, image, text, and video.

multi-task-refinenet

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

VGG16-Pretrained-C

Pretrained VGG16 neural net in C language

Depth-VO-Feat

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

deepschool.io

Deep Learning tutorials in jupyter notebooks.

CNNLocalizationTF

server side code for CNN localization

blelocpp

BLE localization C++ library

deep-speed-constrained-ins

Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

ACRV-SLAM_using_DL

Depth and pose estimation using ConvNets

Deep-Learning-for-Computer-Vision-with-Python

face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)