shubhampachori12110095 Goto Github PK

cosernn

Code for the paper "Contextual and Sequential User Embeddings for Large-Scale Music Recommendation".

cost_sensitive_deep_forest

Cost-sensitive deep forest for price prediction

counterfactual-recurrent-network

Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

couplenet

Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017

course-nlp

NLP course

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cove

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-network

Code for the Paper "Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases"

covid19india-react

Tracking the impact of COVID-19 in India

covr-dataset

COVR dataset for evaluation of compositional generalization

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

cozmo-python-sdk

Anki Cozmo Python SDK

cppn-gan-vae-tensorflow

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

cpustat

high frequency performance measurements for Linux

craves.ai

CRAVES: Controlling Robotic Arm with a Vision-based, Economic System

crayon

A language-agnostic interface to TensorBoard

crcn

Coherence + Recurrent Neural Network + Convolutional Neural Network

crcnn

Classifying Relations by Ranking with Convolutional Neural Networks

credit-card-fraud

Analysis of credit card fraud data

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

crepe

Character-level Convolutional Networks for Text Classification

crepe-1

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

crf

Simple implementation of Conditional Random Fields (CRF) in Python

crf--conditional-random-fields--algorithm

CRF algorithm implemented in Python. Crawled a job portal using Scrapy to get job description and labelled Company name, Position and Skills. Tested my CRF algorithm's output against this labelled data.

crf-based-named-entity-recognizer

A CRF model in python for named entity recognition, which uses the CRFSuite library as its basis.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

crfchunking-with-wordrepresentations

Train a CRF for syntactic chunking (CoNLL2000), and use word representations