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Alim's Projects

roboinstruct-1 icon roboinstruct-1

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

roq-api icon roq-api

C++ API for high-frequency trading (HFT)

rpg_ultimate_slam_open icon rpg_ultimate_slam_open

Open source code for "Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios" RA-L 2018

see-mtda icon see-mtda

(RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation. Our method is the SOTA and pioneering work in the field of multi-target domain adaptation for 3D detection. (June 2022)

self6dpp icon self6dpp

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

simple_mlp icon simple_mlp

A basic multilayer perceptron classifer using only numpy

skeleton3d icon skeleton3d

Bridge between 2D Tensorflow-based human pose estimation and 3D estimation from stereovision

smart-city-sample icon smart-city-sample

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

soccerontable icon soccerontable

Upconverting YouTube soccer videos in 3D for viewing in AR/VR devices.Soccer On Your Tabletop

srfofsbddqn icon srfofsbddqn

Implementation of Setting Reward Function of Sensor Based DDQN Model article.

ssdmobilenet_coreml icon ssdmobilenet_coreml

Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

stereo-vision icon stereo-vision

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

studybook icon studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

swift icon swift

Swift for TensorFlow project home page

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