angadbajwa23's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
SimplifyJobs/Summer2025-Internships
Collection of Summer 2025 tech internships!
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
huangsam/ultimate-python
Ultimate Python study guide :snake: :snake: :snake:
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
jayinai/data-science-question-answer
A repo for data science related questions and answers
zllrunning/face-parsing.PyTorch
Using modified BiSeNet for face parsing in PyTorch
john-rocky/CoreML-Models
Converted CoreML Model Zoo.
tucan9389/awesome-ml-demos-with-ios
The challenge projects for Inferencing machine learning models on iOS
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
MichaelFan01/STDC-Seg
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
mdipietro09/DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use-cases
PacktPublishing/Hands-On-Machine-Learning-with-CPP
Hands-On Machine Learning with C++, published by Packt
instillai/Generative-Adversarial-Networks-Roadmap
The Roadmap to Learn Generative Adversarial Networks (GANs)
cainxx/image-segmenter-ios
Ios integrated deeplab model Implementation of the Semantic Segmentation
huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection
JasonD94/jasond94.github.io
Personal website:
venkanna37/Label-Pixels
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
lmomoy/LF-YOLO
LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.
iitpvisionlab/LSDNet
thiagortk/Road-Surface-Classification
In emerging countries it’s common to find unpaved roads or roads with no maintenance. Unpaved or damaged roads also impact in higher fuel costs and vehicle maintenance. This kind of analysis can be useful for both road maintenance departments as well as for autonomous vehicle navigation systems to verify potential critical points. The road type and quality classifier was done through a simple Convolutional Neural Network with few steps.
VincentHancoder/SSGD
SSGD(ICASSP2023)
holtzy/Homepage
My personal homepage & blog
Kautenja/ios-semantic-segmentation
An example of semantic segmentation on iOS using CoreML and Keras.
RandomGamingDev/console-wordle
A version of wordle for the console