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athenahacks2019_starter

The starter project for AthenaHacks 2019 Unity Bootcamp.

athenahacks_demo

stuff for athenahacks

autoencoder-on-mnist-in-pytorch

The Autoencoder contains an encoder and decoder where encoder stores the images input in a compressed form and decoder retrieves back the Images.

awesome-ai-cancer

Awesome artificial intelligence in cancer diagnostics and oncology

awesome-ai-cardiology

Awesome resources for artificial intelligence in cardiology

banknote-authentication-dataset-analysis-knn

Banknote Authentication Dataset is used for Exploratory Analysis and KNN algorithm is used to classify, experimenting with different parameters for optimization and performance analysis.

color-histogram-manipulation-and-denoising

Image Processing Algorithms for Conversion of of grayscale to color image, Histogram Manipulation methods for image contrast enhancement and Denoising for uniform, salt and pepper, and mixed noise.

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

ds-sf-25

Course materials for General Assembly's Data Science course in San Francisco (7/13/16 - 9/21/16)

ecg_gan_mbd

This repository is for the paper "Synthesis of Realistic ECG using Generative Adversarial Networks".

edge-detection-and-digital-halftoning

Edge Detection Techniques and Digital half-toning methods and compare their performance.

generative-adversarial-networks-using-mnist

Implementation of Generative Adversarial Networks using the MNIST handwritten digits recognition dataset.

human-activity-recognition-using-time-series-classification

Classified the activities of humans based on time series obtained by a Wireless Sensor Network.

interpretable-feedforward-cnns

Interpretable Feedforward Convolutional Neural Networks: Implemented using Saab transform in cascade with Least Square Regressor for constructing the layers. Test on MNIST Handwritten digit dataset.

labs

Scripts for PH525x: Data Analysis for Genomics

lipreading-using-mutimodal-speech-recognition

Multimodal Speech Recognition for phoneme level prediction using Audio-Visual data from TCDTIMIT dataset implementing RNNs with LSTMs for the audio subnetwork and CNN-LSTMs for the video subnetwork.

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

mophological-processing-and-geometric-modification-of-images

multi-class-and-multi-label-classification-using-support-vector-machines

Classification of Anuran species using Anuran Calls Dataset by implementing Support Vector Machines

nemo

NeMo: a toolkit for conversational AI

nemo_asr_app

Spanish_ASR

on-the-prediction-of-apply-rate

The problem of interest is the prediction of apply rate. Imagine a user visiting Glassdoor, and performing a job search.

sift-feature-extraction-texture-analysis-and-image-matching

Implement texture classification and segmentation based on the 5x5 Laws Filters. Implement Scale Invariant Feature Transform (SIFT) which is an image feature extractor useful for representing the image information in a low dimensional form based on paper Lowe, David G. "Object recognition from local scale-invariant features." iccv. Ieee, 1999.. Used SIFT Features for Image Matching

studying-the-robustness-of-gans-on-noisy-data-using-mnist-and-emnist-datasets

Pytorch implementation of GANs on MNIST dataset and testing the robustness of the GANs by incorporating Gaussian Noise and EMNIST dataset.

tensorflow-multigpu-vae-gan

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

vqa-system

Visual Question Answering: given an image and a question related to the image in natural language, the systems answer the question in natural language from the image scene.