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Name: Vaibhav Singh
Type: User
Company: @Google Cloud
Location: Santa Clara, CA
Name: Vaibhav Singh
Type: User
Company: @Google Cloud
Location: Santa Clara, CA
code for Stacked attention networks for image question answering
Sentiment Analysis
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Serverless Inferencing on Kubernetes
Kubernetes IN Docker - local clusters for testing Kubernetes
Machine Learning Toolkit for Kubernetes
https://www.kaggle.com/c/data-science-bowl-2017
A simple, performant and scalable Jax LLM!
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Repository for code experiment samples for writing.
Exploration of MLOps Patterns using Vertex-AI
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Models built with TensorFlow
The MyHDL development repository
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Machine Learning Pipelines for Kubeflow
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 ;)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
Example Pipeline Code
Some exercises from coursework
Model Serving on PyTorch
A flexible, high-performance serving system for machine learning models
The Apple® Siri wave-form replicated in a JS library.
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.