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imgaug

Image augmentation for machine learning experiments.

interview

Everything you need to kick ass on your coding interview

item_recommender

Product recommendation

keras-frcnn

Keras Implementation of Faster R-CNN

knn-svm-nn

This project involves implementing knn, svm, softmax and two layer neural network classifier.

kubernetes-ec2-autoscaler

A batch-optimized scaling manager for Kubernetes

learnopencv

Learn OpenCV : C++ and Python Examples

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning

Machine Learning Projects

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml_parzen_knn

This repo has all the code for maximum likelihood, parzen windows and knn classifiers along with iris, wine and handwriting data sets.

models

Models and examples built with TensorFlow

multitemplatematching-python

Object-recognition using multiple templates in python

neural-vqa-tensorflow

Visual Question Answering in Tensorflow.

perceptron_adaboost_svm

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

reinforcement-learning-in-computer-vision

relationnetworks-clevr

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

scene_recognition

Scene recognition with bag of SIFT features and Deep Learning

sentiment_twitter

Sentiment Analysis in Twitter

soumakm.github.io

stack_implementation

It contains an implementation for Stack container of c++ and infix to postfix conversion program.

tbd-nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

visual-question-answering

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

visual-question-answering-1

Implementation of the visual question answering model from the paper "Exploring Models and Data for Image Question Answering".

vizwiz-vqa-pytorch

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

vqa-winner-cvprw-2017

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

yolo_open_images

yolov3 with SPP weights pretrained on Open Images dataset along with config files

zerocostdl4mic

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy