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Name: Nathanael L. Baisa
Type: User
Company: De Montfort University
Bio: Research Scientist (computer vision and machine learning) and lecturer in AI.
Location: Leicester
Nathanael L. Baisa's Projects
3dposeestimation
This code estimates a 3D pose given model and sample point clouds as input using Open3D library
ab3dmot
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bellmanford-shortestpath
This implements Bellman-Ford's shortest path algorithm.
bikesharingdemandprediction
Bike Sharing Demand Prediction
compute_eer
This code computes False Acceptance Rate (FAR), False Rejection Rate (FRR) and Equal Error Rate (EER) given similarity scores of a biometric system and the actual label of the sample (genuine or imposter).
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
cpp_python_bindings
C++ Python bindings using two recursive algorithms, fibonnaci and factorial, as example.
d2l-en
An interactive deep learning book with code, math, and discussions.
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deep-learning-for-tracking-and-detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
design-patterns
Auxiliary code to my PyCon Sweden 2017 talk "Design Patterns in Python"
efficient-pytorch
My best practice of training large dataset using PyTorch.
facial-expression-recognition.pytorch
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
fairmot
A simple baseline for one-shot multi-object tracking
few-shot
Repository for few-shot learning machine learning projects
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
gm-phd-tracker
GM-PHD-Tracker: Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
igae-net
[IWBF 2024]: "Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning"
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.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
learnopencv
Learn OpenCV : C++ and Python Examples
librealsense
Intel® RealSense™ SDK
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