09panesara

data-science-interviews

Data science interview questions and answers

DataSciencePython

common data analysis and machine learning tasks using python

ta

Technical Analysis Library using Pandas and Numpy

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

stats-illustrations

R & stats illustrations by @allison_horst

grad-cam

[ICCV 2017] Torch code for Grad-CAM

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

vqa.pytorch

Visual Question Answering in Pytorch

create-ml-app

Template Makefile for ML projects in Python.

Variational-Autoencoder

Implementation of a Variational Auto-Encoder in Theano

DepthAwareCNN

Depth-aware CNN for RGB-D Segmentation, ECCV 2018

os2d

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

Speech_driven_gesture_generation_with_autoencoder

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

VQA-tensorflow

Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering

QGforQA

pose-trainer

Pose Trainer: Correcting Exercise Pose using Pose Estimation

Visual-Question-Answering

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

openpose-pytorch

:fire: OpenPose api wrapper in PyTorch.

MultimodalExplanations

Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018

NN-for-Missing-Marker-Reconstruction

This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"

NDD

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

unsupervised_keyword_extraction

Unsupervised approach to keyword extraction

lexical_simplification

VQA-Flask-App

A simple Flask app to generate answer given an image and a natural language question about the image. The app uses a deep learning model, trained with Tensorflow, behind the scenes.

FashionRec

ads-strategy-reinforcement-learning

The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.

Multi-label-classification

Identify and classify toxic commentary