-
AWS
- Santa Clara, CA
- http://web.stanford.edu/~chshah/
Stars
This repository contains the results and code for the MLPerf™ Training v4.0 benchmark.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A collection of algorithms and data structures
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
nimbus: a cloud computing framework for high performance computations
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
Cloth-Visualization via particle-simulation.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Efficient Image Captioning code in Torch, runs on GPU
A simple Delaunay 2D triangulation in python (with numpy)
This repo contains materials for use in a TensorFlow workshop.
Source code of DeepTracking research project
Code samples for my book "Neural Networks and Deep Learning"
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Python composable command line interface toolkit
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Code completion using machine learning :)