jcrichard

jcrichard's Stars

• mc-robinson/ratings_methods

  A collection of python notebooks exploring popular methods for rating sports teams (and other things)

  Language:Jupyter Notebook101

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.6k1.1k

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Jupyter Notebook6.4k675

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k229

• juliuskunze/jaxnet

  Concise deep learning for JAX

  Language:Python18414

• LiyuanLucasLiu/RAdam

  On the Variance of the Adaptive Learning Rate and Beyond

  Language:Python2.5k335

• ermongroup/cs228-notes

  Course notes for CS228: Probabilistic Graphical Models.

  Language:SCSS1.9k476

• jcrichard/pyrb

  Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python

  Language:Python12646

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python19.6k4.4k

• AI-DI/Brancher

  A user-centered Python package for differentiable probabilistic inference

  Language:Python20230

• barryclark/jekyll-now

  Build a Jekyll blog in minutes, without touching the command line.

  Language:CSS8.3k35.2k

• mcleonard/sampyl

  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

  Language:Python33454

• felixmcgregor/BayesianLogisticRegressionEP

  Implementation of Bayesian Logistic Regression using Expectation Propagation for approximate inference

  Language:Jupyter Notebook112

• sods/paramz

  Parameterization Framework for parameterized model creation and handling.

  Language:Python4828

• abdulfatir/sampling-methods-numpy

  This repository contains implementations of some basic sampling methods in numpy.

  Language:Jupyter Notebook6614

• jkarnows/rpcaADMM

  Robust Principal Component Analysis via ADMM in Python

  Language:Python10533

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k1.6k

• dashee87/dashee87.github.io

  :triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

  Language:HTML2618

• mlarosa2/parcoords

  Language:JavaScript112

• dask/dask-searchcv

  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml

  Language:Python24042

• cvxgrp/cvxportfolio

  Portfolio optimization and back-testing.

  Language:Python1k261

• HFTrader/awesome-free-deep-learning-papers

  Free deep learning papers

  346132

• rstudio/reticulate

  R Interface to Python

  Language:R1.7k334

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.9k1.3k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• miguelgrinberg/flask-oauth-example

  Example code from my "OAuth Authentication with Flask" article.

  Language:Python263111

• authomatic/authomatic

  Simple yet powerful authorization / authentication client library for Python web applications.

  Language:Python1k388

• wooyek/flask-social-blueprint

  An OAuth based authentication blueprint for flask. Easy to extend and override.

  Language:Python8328

• codyhouse/animated-headline

  A collection of animated headlines

  Language:CSS23782

• HubSpot/odometer

  Smoothly transitions numbers with ease. #hubspot-open-source

  Language:CSS7.3k717