5998 Open source projects that are alternatives of or similar to Coursera Deep Learning Deeplearning.ai

Data and code behind the Economist's Graphic Detail section.

Projections of COVID-19, in standardized format

Kubeflow’s superfood for Data Scientists

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Google Cloud Datalab samples and documentation

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

Microsoft Azure Traces

Code / solutions for Mathematics for Machine Learning (MML Book)

Profile and monitor your ML data pipeline end-to-end

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Python binding for Microsoft LightGBM

《程序员面试金典》(cc150)

Plain python implementations of basic machine learning algorithms

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

cs231n training camp

Notebook example of how to generate class visualizations with Caffe

Teaching and Learning with Jupyter

Repository for most of the code from my YouTube channel

Best Practices and Style Guides in BEEVA

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

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

😌 Automatically detects and crops faces from batches of pictures.

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

这是一个完整的，端到端的机器学习项目，非常适合有一定基础后拿来练习，以提高对完整机器学习项目的认识

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Automatic headphone equalization from frequency responses

Fast and flexible AutoML with learning guarantees.

Dataset to assess the disentanglement properties of unsupervised learning methods

Tensor methods in Python with TensorLy

Probabilistic reasoning and statistical analysis in TensorFlow

Code and files to go along with CS329s machine learning model deployment tutorial.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Apply custom CSS styling to your jupyter notebooks

Classify Traffic Signs.

categorical variational autoencoder using the Gumbel-Softmax estimator

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

ccf2016 sougou final winner solution

Joyplots in Python with matplotlib & pandas 📈

Machine Learning interview prep guide

Numba tutorial for GTC 2017 conference

RAPIDS Community Notebooks

A tutorial on Julia DataFrames package

Implementation of various topic models

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Automatically exported from code.google.com/p/music-synthesizer-for-android

Learning about and doing projects with recurrent neural networks

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

Convolutional neural networks for artistic style transfer.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)