5941 Open source projects that are alternatives of or similar to Copulas

Pretrained Language Models for Korean

create sankey diagrams with matplotlib

code for py-R-FCN-multiGPU maintained by bupt-priv

Files for Udemy Course on Algorithms and Data Structures

一些爬虫的代码

Comparison tools

ASAP: Prioritizing Attention via Time Series Smoothing

IPython widgets, interactive plots, interactive machine learning

📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

Pop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

Sequential regulatory activity predictions with deep convolutional neural networks.

Benchmarking different approaches for categorical encoding for tabular data

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

This project is trying to fetch real time balance & orderbook of ETH and visualise using dash

Deep Learning Application Examples

This is an introduction to tensorflow

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

COCO-Text API http://vision.cornell.edu/se3/coco-text/

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

wide and deep labs and samples

Here lies all the exercises I implement and share in my website

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

A blog for data analytics using data science technologies

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

Accompanying code for the Medium article

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Tensorflow-in-Practice-Specialization

🧪 📗 Unit test your Jupyter Notebooks the right way

All Hadith With Tashkil and Without Tashkel from the Nine Books that are 62,169 Hadith.

pyiron - an integrated development environment (IDE) for computational materials science.

This is ongoing work developing quick reference sheets for IPython

Deep Learning tutorials in jupyter notebooks.

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

代码记录

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Sample Codes for NNDL

Segmentation-Aware Convolutional Networks Using Local Attention Masks

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

Reading notes on the excellent "Designing Data-Intensive Applications"

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Practical Notebooks for the Deep Learning Indaba 2018

cell detection in calcium imaging recordings

Few Shot Learning by Siamese Networks, using Keras.

Multiscale Geographically Weighted Regression (MGWR)

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

Label line using matplotlib.

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

MINE: Mutual Information Neural Estimation in pytorch (unofficial)