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auto-sklearn

automl_challenge

This is a "supervised learning" challenge in machine learning. We are making available 30 datasets, all pre-formatted in given feature representations (this means that each example consists of a fixed number of numerical coefficients). The challenge is to solve classification and regression problems, without any further human intervention.

aware

cancer

cftc-cot

Parses historical and current CFTC Commitments of Traders reports into easy-to-use pandas dataframes

clean-blog

A Jekyll version of the Clean Blog theme by Start Bootstrap

coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

coupon

Kaggle coupon challenge

daiwei89.github.io

dap

dark-pool-buying

Calculates estimate of dark pool buying based on publicly available exchange data

demo_app

ruby_on_rail_demo_app

distfw

Distributed Frank-Wolfe

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

finplot

Performant and effortless finance plotting for Python

first_app

ror_app

folly

An open-source C++ library developed and used at Facebook.

gpt-investar

Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

graphlab

A framework for large-scale machine learning and graph computation.

hotbox

hotbox_plot

hotbox_third_party

Useful C++ libraries

julia-test

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

lda-gibbs-sampling

a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm

mapreduce-lite

A C++ implementaton of MapReduce without distributed filesystem

mf_st

Single thread (st) matrix factorization (mf)

myspark-apps

nodejs-napi-addon-using-cmake

C++ Native Addon independent of Node.js version using Napi/node-addon-api and Cmake

onnx

Open standard for machine learning interoperability