prateeknepaliya09 Goto Github PK
Name: Prateek Nepaliya
Type: User
Company: Merkle
Bio: Data Scientist at Merkle
Location: Pune
Name: Prateek Nepaliya
Type: User
Company: Merkle
Bio: Data Scientist at Merkle
Location: Pune
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Setting up data Infrastructure with some open source tools.
A curated list of awesome big data frameworks, ressources and other awesomeness.
An awesome Data Science repository to learn and apply for real world problems.
A curated list of deep learning resources for computer vision
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of awesome R packages, frameworks and software.
a curated list of awesome streaming frameworks, applications, etc
TensorFlow - A curated list of dedicated resources http://tensorflow.org
All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker"
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Cloudera Manager API Client
A complete computer science study plan to become a software engineer.
Automatic color palette detection
summer school coursework
Public facing notes page
code for Data Science From Scratch book
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
The intermediate R course is the logical next stop on your journey in the R programming language. Learn about conditional statements, loops and functions to power your own R scripts. Next, you can make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in R.
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
Open Source Data Science Resources.
Deep Learning Tutorial notes and code. See the wiki for more info.
TensorFlow Basic Tutorial Labs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.