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cuda-python

CUDA Python Low-level Bindings

customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

cv-resume

My Curriculum Vitae / Resume

data-engineering-zoomcamp

Free Data Engineering course!

data-science-interview-preperation-resources

Resoruce to help you to prepare for your comming data science interviews

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

datascienceresources

Open Source Data Science Resources.

deep-learning-on-graphs

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepergcn-dgl

A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".

deeplearning

Deep Learning From Scratch

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepsphere

A graph-based spherical convolutional neural network (for cosmology)

deepworks

A collection of Deep Learning projects and resources

determined

Determined: Deep Learning Training Platform

dgcnn

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgn

Implementation of Directional Graph Networks in PyTorch and DGL

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

docs

TensorFlow documentation

documentation

Plotly's Documentation

ebooks

These are Some useful ebook

educational

examples

TensorFlow examples

excalidraw-virtual-whiteboard

Virtual whiteboard for sketching hand-drawn like diagrams

explore_gcn

Explore Graph Convolutional Networks

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""