6182 Open source projects that are alternatives of or similar to 2017 Ccf Bdci Aijudge

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

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

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

Tensorflow implementation of Deepminds dqn with double dueling networks

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

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

Source files for "Lectures in Quantitative Economics" -- Python version

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Activity Recognition from 2D pose using an LSTM RNN

Deploy and scale serverless machine learning app - in 4 steps.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

The fastai book, published as Jupyter Notebooks

An implementation of a sequence to sequence neural network using an encoder-decoder

Python sample codes for robotics algorithms.

Materials for a 2-day instructor led course on applying machine learning

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

Create interactive textual heat maps for Jupiter notebooks

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型

Python library for identifying the peaks and valleys of a time series.

Deformable Style Transfer (ECCV 2020)

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

Documentation of all collective action from tech workers.

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Curso de Datos Abiertos y Hacking Cívico, habilitando las capacidades de la ciudadanía y los servidores públicos en el uso de datos abiertos.

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

PDFTableExtract

Tutorial and Examples Jupyter Notebooks for Altair

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

An awesome semantic segmentation model that runs in real time

[DEPRECATED] 🔊️ Audio with fastaiv1

Arduino and python code for a mini-radio telescope.

How to build RNNs and LSTMs from scratch with NumPy.

Combining Psi4 and Numpy for education and development.

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Images and notebook for camera calibration

MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

Materials for the "Advanced Scikit-learn" class in the afternoon

Introduction to Geospatial Data with Python

Tencent Social Ads 2017 contest rank 20

Sorting Google Scholar search results based on the number of citations

A library to model multivariate data using copulas.

Jupyter notebooks on time series econometrics topics.

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

DCGAN image generator 🖼️.

Contains files for the deep learning in genomics primer.

A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Building an image classifier using keras

An implementation of Pix2Pix in Tensorflow for use with frames from films

In The Wild 3D Morphable Models

18.330 Introduction to Numerical Analysis