6006 Open source projects that are alternatives of or similar to Binderhub

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Arabic root finder with neural nets!

python100天学习资料

Audio Denoising with Deep Network Priors

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

How to create custom COCO data set for object detection

To make it easy to benchmark AI accelerators

Examples that illustrate how nbconvert can be used

Accompanying code for the Medium article

Pytest in IPython notebooks.

visualization of CNN in PyTorch

Learning the Enigma with Recurrent Neural Networks

🧪 📗 Unit test your Jupyter Notebooks the right way

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Deep Learning tutorials in jupyter notebooks.

Code for Prediction and Planning Under Uncertainty (PPUU)

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

CNN image classifier implemented in Keras Notebook 🖼️.

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

Segmentation-Aware Convolutional Networks Using Local Attention Masks

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

A high performance implementation of HDBSCAN clustering.

📊 Algorithm Visualizer for IPython/Jupyter Notebook

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

A New, Interactive Approach to Learning Python

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Few Shot Learning by Siamese Networks, using Keras.

PTT 八卦版問答中文語料

Performance analysis of predictive (alpha) stock factors

Factorization Machines implementation with Tensorflow

Supports de formation Deep Learning (diapos et exercices pratiques)

Solutions for Automate the Boring Stuff with Python

Notebooks for upcoming fastai book (draft / incomplete)

Causal Graphical Models in Python

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Keras implementation of Sketch RNN

📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Examples of single-cell genomic analysis accelerated with RAPIDS

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

PennAI: AI-Driven Data Science

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Mastering Python for Finance – Second Edition, published by Packt

(한국어) 텍스트 마이닝을 위한 공부거리들

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

🌎 machine learning tutorials (mainly in Python3)

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

Design-of-experiment (DOE) generator for science, engineering, and statistics

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

Conda environment and package management extension from within Jupyter