Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Golang rate limiters for distributed applications

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

A Java library for Rate-Limiting, providing extensible storage and application framework adaptors.

Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)

JavaScript AC solutions to problems on LeetCode

No description provided.

A C++ Data Stream Processing Parallel Library for Multicores and GPUs

Multi-core Window-Based Stream Processing Engine

License Plate Recognition based on CNN/Deep Learning

Window-Based Hybrid CPU/GPU Stream Processing Engine

LeetCode solutions, classified by tags of companies and topics.

MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows

Detecting vehicles using HOG features and SVM

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Python package to run sliding window on numpy array

Hybrid CNN-LSTM Encoder Decoder algorithm for multi-step reservoir storage volume forecasting

This Repo is all about the DSA I have learned so far, And the Notes I have made.

A sliding time window for Go

Modern Sliding Sidebar UI / UX Using C# with Guna Framework | Winform Application

Detection of CNVs (deletion/duplication) in target panel based NGS data

Face detection based on SVM(Support Vector Machine).

fiber_limiter using redis as store for rate limit with two algorithms for choosing sliding window, gcra leaky bucket

The current VB6 application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can use this LLM to search for regions of interest inside a longer sequence called z (the target).

DSA in Java covers a wide range of algorithms, including sorting algorithms, searching algorithms, graph algorithms, and dynamic programming algorithms. The implementation and optimization of these algorithms require a solid understanding of data structures, such as arrays, linked lists, trees, and graphs, and their associated operations.

Udacity Self Driving Car Nanodegree - Vehicle Detection

The current JS application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can use this LLM to search for regions of interest inside a longer sequence called z (the target).

Phylogeographic workflow using sliding-windows, RAxML-NG and FastTree

Data Structures and Algorithms (Checkout solutions and implementations of all the DS/Algos in this repository)

Using Support Vector Machine and Extracting Histogram of Oriented Gradient Features