zixinyang Goto Github PK

air_quality_prediction

algoexpert

bayesian-neural-network

bayesian_methods

ccim

datamining

full-stack-hello

minimal instruction set and assembler/compiler for "Hello World" execution

google-research

Google Research

kafka-beginners-course

leetcode

machine_learning_with_pyspark

models

Models and examples built with TensorFlow

monte_carlo_influence_maximization

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

moxiebox

A secure, sandboxed execution mechanism that enables deterministic input, processing and output

natural-mergesort

prefetcher

Evaluate the effects of prefetching

prefix-search

Implement prefix search using ternary search tree

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

resilientdb

ResilientDB: A scalable permissioned blockchain fabric

riscv-console

RISC-V Console Simulator

statistics-with-r-specialization

system-programming-class

torcheval

A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.

zixinyang.github.io