shrikantpandey13's Stars
Jcharis/Natural-Language-Processing-Tutorials
Natural Language Processing Tutorials(NLP) with Julia and Python
jadianes/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
alexeygrigorev/data-science-interviews
Data science interview questions and answers
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
iNeuronai/interview-question-data-science-
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
atlanhq/camelot
Camelot: PDF Table Extraction for Humans
KeithGalli/Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
PacktPublishing/Advanced-NLP-Projects-with-TensorFlow-2.0
sayakpaul/Emotion-Detection-using-Deep-Learning
This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.
rahmatnazali/pimage
Image copy-move detector
darraghdog/rsna
:hospital: RSNA Intracranial Hemorrhage Detection :hospital:
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
deKeijzer/Multivariate-time-series-models-in-Keras
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
opencv/opencv
Open Source Computer Vision Library
jocicmarko/ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
risenW/datasist
A Python library for easy data analysis, visualization, exploration and modeling
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
mrgloom/keras-semantic-segmentation-example
Example of semantic segmentation in Keras
mrgloom/CNN-heatmap
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
divamgupta/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
mrgloom/Kaggle-Computer-Vision-Competitions-List
List of Kaggle competitions in the field of Computer Vision