6352 Open source projects that are alternatives of or similar to Pylbm

Activities and exercises for the Part IA computing course in Michaelmas Term

A code generator for grid-based PDE solving on CPUs and GPUs

Notes on Scientific Computing for Biomechanics and Motor Control

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

A code generator for array-based code on CPUs and GPUs

Domain Specific Languages in Python

A collection of simple tutorials for using Fonduer

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

Sample code for running deterministic variational inference to train Bayesian neural networks

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system

Papers I read

生命情報の機械学習入門（新学術領域「先進ゲノム支援」中級講習会資料）

Stanford cs231n'18 assignment

Malware Data Science Reading Diary / Notes

Machine learning portfolio

Inference case studies in jupyter

Data Reading Blocks for Python

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Colorise Anime/Manga Sketches with DeOldify

API for accessing the GraphLog dataset

A Python library for integrating model-based and judgmental forecasting

Solution of RecSys Challenge 2015

google it automation with python professional certificate

A collection of IJulia notebooks related to optimization

Keras implementation of NASNet-A

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

It is the DKT+ model implemented in python3 and tensorflow1.2

Implementing YOLO using ResNet as the feature extraction network

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

introduction to text analytics in python training for odsc west 2018

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

Voice Conversion using Cycle GAN's For Non-Parallel Data

Resources for Machine Learning Pocket Reference

This repository includes the code used in my corresponding Medium post.

🔮 GraphQL error management made Easy, generate custom machine-readable errors for Apollo Client/Server from the CLI

Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".

Série histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde

推荐系统从入门到实战

statistics and classes for exploratory spatial data analysis

CS231n 2019年春季学期课程作业

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Python package for publishing Jupyter Notebooks as Medium blogposts

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

R package to interface with OpenML

Local AI demo and distributed AI demo using TensorFlow

My repository for the Carvana Image Masking Challenge

Public repo for Materials API documentation

brief introduction to Python for neural networks

Data visualization course material

Assets for data8.org

Neural machine translator for English2German translation.

Exposure Matrix Factorization: modeling user exposure in recommendation

Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.

TensorFlow Tutorials with YouTube Videos

Video2GIF neural network model from our paper at CVPR2016