nathanlem1

3DposeEstimation

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

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).

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

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

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.

MTF-Lib

Multiple Target Filtering Tools

SVM_PyTorch

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

theMLbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

nathanlem1/MTF-Lib

Multiple Target Filtering Tools

nathanlem1/SVM_PyTorch

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

nathanlem1/GM-PHD-Tracker

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

nathanlem1/BikeSharingDemandPrediction

Bike Sharing Demand Prediction

nathanlem1/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).

nathanlem1/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.

nathanlem1/3DposeEstimation

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

nathanlem1/aima-python

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

nathanlem1/attention-is-all-you-need-pytorch

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

nathanlem1/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

nathanlem1/Cpp_Python_bindings

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

nathanlem1/FairMOT

A simple baseline for one-shot multi-object tracking

nathanlem1/IGAE-Net

[IWBF 2024]: "Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning"

nathanlem1/introtodeeplearning

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

nathanlem1/MBA-Net

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

nathanlem1/MCMOT

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

nathanlem1/MOTChallengeEvalKit

nathanlem1/pytorch-frame

Tabular Deep Learning Library for PyTorch

nathanlem1/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

nathanlem1/PyTorch_YOLOv4

PyTorch implementation of YOLOv4

nathanlem1/reinforcement-learning

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

nathanlem1/RepresentationLearning_SS2023

Representation Learning MSc course Summer Semester 2023

nathanlem1/RNN_GRU_LSTM_Example

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

nathanlem1/self-attention-cv

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

nathanlem1/tutorials

nathanlem1/ultralytics

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

nathanlem1/vision

Datasets, Transforms and Models specific to Computer Vision

nathanlem1/vissl

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

nathanlem1/vit-pytorch

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

nathanlem1/VoTT

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