6152 Open source projects that are alternatives of or similar to Cikm 2019 Analyticup

Open solution to the Toxic Comment Classification Challenge

Deep Learning with Catalyst

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

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料

Machine learning library written in readable python code

Examples of using Raster Vision on open datasets

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Mastering Python for Finance – Second Edition, published by Packt

Электронный учебник-пособие по научной графике в python

Books Papers, Courses & more I have to learn soon

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Important paper implementations for Question Answering using PyTorch

Deep Learning libraries tested on images and time series

A high performance implementation of HDBSCAN clustering.

This Python library makes it easy to display images and videos in a notebook.

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

This repository provides everything you need to get started with Python for (social science) research.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

AI Toolkit for Azure IoT Edge

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

Scripts and data for various Vox Media stories and news projects

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

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

cell detection in calcium imaging recordings

Combining Psi4 and Numpy for education and development.

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

📝 SZU Undergraduate Thesis -- Recommender System

python100天学习资料

Tutorials on Julia topics

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

MONAI Tutorials

Performance analysis of predictive (alpha) stock factors

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

PennAI: AI-Driven Data Science

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

A numpy implementation of forward energy from the paper “Improved Seam Carving for Video Retargeting" (2008)

ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

Building an image classifier using keras

2nd Place Solution 💰🥈

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Repo replaced by cogsec-collaborative/AMITT

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

Notebook for my medium article about how to use Dataset API in TensorFlow

QuantumBlack Matplotlib styles

Tensorflow implementation of Deepminds dqn with double dueling networks

WebRTC for Jupyter notebook/lab

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

Portfolio Theory, Options Theory, & Quant Finance

HandySpark - bringing pandas-like capabilities to Spark dataframes