6037 Open source projects that are alternatives of or similar to Awesome Machine Learning Jupyter Notebooks For Colab

코딩셰프의 3분 딥러닝, 케라스맛

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

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.

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

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

1st place solution for the Kuaishou Active-user Forecast competition

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Anomaly detection for temporal data using LSTMs

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）

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

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Previous version of eeg-notebooks

InfiniteBoost: building infinite ensembles with gradient descent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

Machine Learning for Finance, published by Packt

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

AI/ML citation graph with postgres + graphql

A framework for hydrodynamics explorations and prototyping

Find surprising moves in chess games

SegNet model implemented using keras framework

Algorithms course materials for the Lede program at Columbia Journalism School

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

DGL tutorial in KDD 2019

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

Data preparation and loader for AMASS

📒 notebook

top 1% solution to toxic comment classification challenge on Kaggle.

Run M Files from Python - GNU Octave to Python bridge

InferSent sentence embeddings

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)

A set of tutorials for torchtext

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

subpixel: A subpixel convnet for super resolution with Tensorflow

This is code of book "Learn Deep Learning with PyTorch"

A practical feature engineering handbook

supercell

Juliabox continues to run, but this codebase is no longer current.

Jupyter notebook for Udemy course: Python data science and machine learning bootcamp

Project which implements extraction of data from scatter plots

A DCGAN that generate Cat pictures 🐱‍💻

Quantitative Interview Preparation Guide, updated version here ==>

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Example code from the book "Deep Learning for the Life Sciences"

This is the official repository for the Recommender Systems course at Politecnico di Milano.

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

🔖 ⭐️ Collection of public dev bookmarks, shared with ❤️ from www.bookmarks.dev

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Azure Machine Learning Lab Notebooks

Yolov5 real time smoke detection system

Homepage for STAT 157 at UC Berkeley

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

This is Andrew NG Coursera Handwritten Notes.