Nathanael L. Baisa (nathanlem1)

nathanlem1

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Company:De Montfort University

Location:Leicester

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Nathanael L. Baisa's repositories

MTF-Lib

Multiple Target Filtering Tools

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SVM_PyTorch

This implements a linear SVM using fully-connected layer and hinge loss using PyTorch.

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GM-PHD-Tracker

GM-PHD-Tracker: Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification

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BikeSharingDemandPrediction

Bike Sharing Demand Prediction

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IntersectionOverUnion_circles

These codes compute overlap (intersection over union) of two circles, count number of true positives, false positives and false negatives as well as they compute recall, precision, F1-score and area-under-curve (AUC) using MATLAB and Python.

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3DposeEstimation

This code estimates a 3D pose given model and sample point clouds as input using Open3D library

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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Cpp_Python_bindings

C++ Python bindings using two recursive algorithms, fibonnaci and factorial, as example.

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DEFT

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

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Hands-On-Artificial-Intelligence-for-Cybersecurity

Hands-On Artificial Intelligence for Cybersecurity, publised by Packt

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IGAE-Net

IGAE-Net: "Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning"

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introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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MBA-Net

[ICPR 2022] "Multi-Branch with Attention Network for Hand-Based Person Recognition"

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MCMOT

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and re-id

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Python

All Algorithms implemented in Python

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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PyTorch_YOLOv4

PyTorch implementation of YOLOv4

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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RepresentationLearning_SS2023

Representation Learning MSc course Summer Semester 2023

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RNN_GRU_LSTM_Example

This gives an example of using RNN, GRU and LSTM recurrent architectures in PyTorch.

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self-attention-cv

Implementation of self-attention mechanisms for general purpose. Focused on computer vision modules. Ongoing repository.

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spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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VoTT

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

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