5921 Open source projects that are alternatives of or similar to Simplified Deeplearning

图书《Python编程：从数据分析到数据科学》的配套资源

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Visualizing CNN filters using PyTorch

A practical feature engineering handbook

A lightweight network for body/hand action recognition

Deploy AutoML as a service using Flask

Using github's issue system as lightweight notes & blog.

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Mixed Effects Random Forest

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

InferSent sentence embeddings

在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下，众多行业迎来了前所未有的发展机遇，人工智能+无人机（AI+UAV）正是一个具有无限想象力的应用方向。

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Template for nbdev projects

subpixel: A subpixel convnet for super resolution with Tensorflow

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

🎓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

Project which implements extraction of data from scatter plots

The source code for "An Actor Critic Algorithm for Structured Prediction"

Materials for a short course on convex optimization.

Ethereum smart contracts that have been used during successful ICOs

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

numsca is numpy for scala

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Previous version of eeg-notebooks

INTERSPEECH 2019 Tutorial Materials

python tutorial

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Adversarial networks in TensorFlow

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

资产配置方案

SegNet model implemented using keras framework

Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.

Code for a workshop on statistical interference using computational methods in Python.

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛：Mask R-CNN肺部结节智能检测（Segmentation + Classification）

从零基础开始机器学习之旅

Use the Mask RCNN for the human pose estimation

Python Bootcamp docs and lectures (UC Berkeley)

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Code for my medium article

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

First project for CVND: facial keypoint detection.

Scripts and data for various Vox Media stories and news projects