vin136

mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

CSCI_E_82A_Probabalistic_Programming

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

learn2learn

A PyTorch Library for Meta-learning Research

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

OWM

Code for Continual Learning of Context-dependent Processing in Neural Networks

nupic.torch

Numenta Platform for Intelligent Computing PyTorch libraries

datastructures

A Literate Program about Data Structures and Object-Oriented Programming

6S083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

18330

18.330 Introduction to Numerical Analysis

ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

CVX101-HW-with-python

Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)

nupic.torch

Numenta Platform for Intelligent Computing PyTorch libraries

nupic.py

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

actor-critic-public

The source code for "An Actor Critic Algorithm for Structured Prediction"

systematic-generalization-sqoop

Code for "Systematic Generalization: What Is Required and Can It Be Learned"

joyful-pandas

pandas中文教程

JuliaWorkshop19

Advanced Julia for undergraduate physicists

cme257-advanced-julia

Advanced Topics in Scientific Computing with Julia

18S096

18.S096 three-week course at MIT

SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

18S096SciML

18.S096 - Applications of Scientific Machine Learning

data-science-at-the-command-line

Data Science at the Command Line

effective-pandas

Source code for my collection of articles on using pandas.

data_science_delivered

Observations from Ian on successfully delivering data science products

course-v3

The 3rd edition of course.fast.ai

dotfiles

Configuration files for my linux/mac.

tensorlayer

Deep Learning and Reinforcement Learning Library for Developers and Scientists