lucasbotang Goto Github PK

algorithms-stanford

Assignments (Python) in Algorithms Courses of Stanford University at Coursera

cloud_computing_with_stochastic_programming_decomposition

Optimizing Costs for Cloud Computing with Stochastic Programming

codecademy_introduction_to_data_analysis

Basic pandas, numpy, scipy and sql for data science

concurrent_traffic_simulation

Udacity C++ Project Concurrent Traffic Simulation

coursera_algorithms

Coursera Algorithms Specialization by Stanford University

coursera_big_data_for_data_engineers

Assignments for Big Data for Data Engineers specialization on Coursera by Yandex.

coursera_deep_learning

Deep Learning Specialization by deeplearning.ai on Coursera.

coursera_discrete_optimization

Exact and meta-heuristic algorithms for NP problems

coursera_machine_learning

Homework and slides for Coursera machine learning course by Andrew Ng

coursera_managing_big_data_with_mysql

Assignments and notes of the Managing Big Data with MySQL on Coursera by Duke University

coursera_programming_and_algorithm

C++ code for Peking Univerisity course Programming and Algorithm

cs5800_algorithms

Progamming assignments for CS5800 Algorithms

csc2515_bike_sharing

Sharing Bike Usage Prediction in the City of Toronto

customer_segments

Use unsupervised learning techniques to organize the general population into clusters, then use those clusters to see which of them comprise the main user base for the company.

disaster_response_pipeline

Natural language processing for disaster message classfication

draw_ellipse_from_matrix_and_ellipsoid_method

Ellipsoid Method and visualization

edx_introduction_to_computer_science_and_programming_using_python

Introduction to computer science using python

edx_machine_learning

Projects of Edx Columbia University's machine learning course

finding_donor

Evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

fnnls

[PyPi Package] Implementation of the Fast Nonnegative Least Squares algorithm.

gradient_descent_for_convex_quadratic

Implement the classical gradient descent method using different step size rules

gradnorm

PyTorch implementation of the GradNorm

leetcode

My solutions for LeetCode

made_up_programming_language

MUPL language interpreter implemented by Racket

memory_management_chatbot

modulargan

Unofficial PyTorch Implementation of ModularGan

multi-task_predict-then-optimize

Multi-task end-to-end predict-then-optimize

neural-rewriter

Learning to Perform Local Rewriting for Combinatorial Optimization

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

operations-research-science.github.io

『运筹OR帷幄』official web