adityasiwan
Follow
Stars
Train a state-of-the-art yolov3 object detector from scratch!
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Image restoration with neural networks but without learning.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A Simple and Versatile Framework for Object Detection and Instance Recognition
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
A topic-centric list of HQ open datasets.
A complete computer science study plan to become a software engineer.
A Python scikit for building and analyzing recommender systems
Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).
Deep Learning and deep reinforcement learning research papers and some codes
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Solution for the book Cracking the Coding Interview
adityasiwan / vehicle_detection_haarcascades
Forked from andrewssobral/vehicle_detection_haarcascadesVehicle Detection by Haar Cascades with OpenCV
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
machine learning and deep learning tutorials, articles and other resources
Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their r…
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to p…
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, Identified the best price that a client can sell their house utilizing…