7211 Open source projects that are alternatives of or similar to Colab

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

자연어 처리와 관련한 여러 튜토리얼 저장소

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A deep learning based gaze estimation framework implemented with PyTorch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

专门面向中文用户的机器学习相关的学习资料大集合

Git Cheats - Interactive Cheatsheet For Git Commands

All my experiments with AI and ML

MicaSense RedEdge and Altum image processing tutorials

Notes and experiments to understand deep learning concepts

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Some of my simple neural networks

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Fish detection using Open Images Dataset and Tensorflow Object Detection

🔮 Life is short, you need PyTorch.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

https://cc-mnnit.github.io/2018-19-Classes/ - 🎒 💻 Material for Computer Club Classes

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Collection of Artificial Intelligence projects.

Create HTML profiling reports from pandas DataFrame objects

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

真AI人工智能

Tutorials for learning OpenCV in Python from Scratch

Best Practices, code samples, and documentation for Computer Vision.

Repository to help you get started with computer vision

Geophysical Tutorials column for 2017

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Some notebooks

60_Days_RL_Challenge中文版

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

All of the code for my Medium articles

Completed assignments and coding challenges from the Lambda School Data Science program.

Awesome-pytorch-list 翻译工作进行中......

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Research on Texas Hold'em AI

Best Practices on Recommendation Systems

Tutorials for Quantum Algorithms with Qiskit implementations.

Materials for workshops on text mining, machine learning, and data visualization

CNN image classifier implemented in Keras Notebook 🖼️.

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Time Series Forecasting Best Practices & Examples

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

Statistical Rethinking (2nd Ed) with Tensorflow Probability

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Daily Dose of Neural Network that Everyone Needs

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

People removal in images using Pix2Pix and YOLO.

Data augmentation for NLP

Notebook for my medium article about how to use Dataset API in TensorFlow