6061 Open source projects that are alternatives of or similar to Codefun

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Efficient Learning of Augmentation Policy Schedules

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Google Brain AutoML

Open-source implementation of Google Vizier for hyper parameters tuning

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Fast and flexible AutoML with learning guarantees.

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.

Time Series Forecasting Best Practices & Examples

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

A fast and lightweight AutoML library.

Use deep learning, genetic programming and other methods to predict stock and market movements

Some exercises and problems in Introduction to Algorithms 3rd edition.

Statistics Tutorial for IT Operations Engineers

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Performance comparison of Android ORM Frameworks

Directory of Jupyter notebooks exploring various topics

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

Data science portfolio

Explaining the Math of how neural networks learn

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Edit your Jupyter notebooks in Vim/Neovim

Microsoft Quantum Development Kit Samples

Code repository for Python Machine Learning Blueprints, published by Packt

VDSR (CVPR2016) pytorch implementation

Trading with recurrent actor-critic reinforcement learning

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

Материалы курса Deep Learning на пальцах

Collection of notebooks about quantitative finance, with interactive python code.

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

機器學習: Python

Set of real world data science tasks completed using the Python Pandas library

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Public Repository for cs109a, 2017 edition

PyTorch implementation of PNASNet-5 on ImageNet

Collection of algorithms for online portfolio selection

Jupyter's kernel for Elixir programming language

项亮的《推荐系统实践》的代码实现

Tutorial for International Summer School on Deep Learning, 2019

An empirical study on evaluation metrics of generative adversarial networks.

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

United States General Election Presidential Results by County from 2008 to 2016

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A strategy for tennis matches betting

Tutorial on geospatial data manipulation with Python

腾讯word2vec模型缩小版

DeepSurv is a deep learning approach to survival analysis.

周志华《机器学习》阅读笔记

Differentiable architecture search for convolutional and recurrent networks

Mostly experiments based on "Advances in financial machine learning" book

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Grokking Deep Reinforcement Learning