anjaniksharma Goto Github PK
Type: User
Type: User
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Tutorials for DataCamp (www.datacamp.com)
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
DCGAN face generator 🧑.
A Sklearn like interface for FastText
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
A python utility to orchestrate hundreds of jobs
Deep Learning for humans
A TimedRotatingFileHandler logger.
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
Ruby on Rails Web App over a TCP classification serving
Lab files for Azure Machine Learning exercises
Using Edward - Various probabilistic modeling examples
QLoRA: Efficient Finetuning of Quantized LLMs
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Keras DNN model with large training data feed by tf datasets
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
The "REST With Spring" Course:
Dropout in dense network to output variance & mean of prediction probability. Coverage vs Accuracy plot
Add uncertainty by inducing dropout at various layers during inference
Wayfair Tech interview Solution
This is my personal blog about machine learning and software engineering.
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.