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🦉 ML Experiments Management with Git

Awesome Learning Resources ⭐ 5,001

🔥 Awesome list of resources on Web Development.

Hercules ⭐ 1,863

Gaining advanced insights from Git repository history.

Huggingface_hub ⭐ 1,462

The official Python client for the Huggingface Hub.

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

Lazydata ⭐ 612

Lazydata: Scalable data dependencies for Python projects

Now redundant weka mirror. Visit https://github.com/Waikato/weka-trunk for the real deal

Best Data Science Resources ⭐ 282

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

Mindflow ⭐ 213

🧠 AI-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow 🌊

Blueprints Text ⭐ 198

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

Datasets ⭐ 178

source{d} datasets ("big code") for source code analysis and machine learning on source code

Research And Coding ⭐ 82

研究资源列表 A curated list of research resources

Awesome Ebooks ⭐ 81

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

Yuzumarker ⭐ 70

🍋 [WIP] Manga Translation Tool

Machinelearning ⭐ 65

机器学习师从Andrew Ng(吴恩达)，获得在Coursera平台上斯坦福大学Andrew Ng（吴恩达教授）机器学习（Machine Learning）的资格证书，为了有一个平台和大家分享和交流机器学习，因此特地在此进行课程的：笔记整

Cse Resources ⭐ 48

A collection of curated resources for learning Computer Science subjects and skills, that I garnered throughout my tenure as a CSE student. Contributions, and report of broken links are welcome.

Hacktoberfest 2021 ⭐ 43

Hacktoberfest 2021 contribution repository✨

💀 Version control for machine learning

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据、推荐系统、数据库、数据挖掘、机器学习、深度学习、算法等。

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

Git Loss For Deep Face Recognition ⭐ 33

This repository contains code for my paper "Git Loss for Deep Face Recognition".

ML-Git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. ML-Git enables the following operations. Manage a repository of different datasets, labels and models. Versioning immutable versions of models, labels and documents. Distribute these ML artifacts between members of a team or across organizations. Apply the right data governance and security models to t

Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity

Kendra Button ⭐ 20

Custom search engine using Kendra

Today I Learned ⭐ 19

Today I learned contains Q&A of what I have learned so far. It encompasses topics like: python, deep-learning, cuda-installation, docker, git, linux, etc.

Modelforge ⭐ 18

Python library to share machine learning models easily and reliably.

Compmethods ⭐ 18

"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

Per-session checkpoint for boosting up your research

Data Scientist In Python ⭐ 15

This repository contains notes and projects of Data scientist track from dataquest course work.

Tchatbot ⭐ 15

A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition

📓 my notes, bookmarks, useful articles & courses

Notes of CS Concept & Code Snippet

Scikit Cycling ⭐ 13

Tools to analyze cycling data

Tech Share ⭐ 13

每周技术分享，点击watch，更新时收到推送

Hands On Ml ⭐ 13

Hands-on tutorial of machine learning in Python

Machinelearning_notebook ⭐ 12

Notebooks for machine learning

Machine learning and Databases at CAUP/IA in 2019

Various Data Science Scripts ⭐ 10

A collection of coding scripts, notes, and mini-projects with reference to a series of Data Science, Web Development, programming concepts and foundations, and miscellaneous tech topics.

git-annex repo of papers

Conda_environments_for_data_science ⭐ 9

Environmental configuration files used to aid in committing Data Science and Machine Learning.

Machinelearning Roadmap ⭐ 9

A hands-on roadmap to learn Machine-Learning, Deep-Learning and ML-Ops

Illustrations ⭐ 8

This repository contains illustrations to explain concepts in data (science).

Code for all the projects I create.

Tech Faqs ⭐ 8

Easy introductions to few important, simple, tech topics.

Testarium ⭐ 7

Research tool to perform science experiments

471 Seniordesign ⭐ 7

Team of four CSUF seniors creating an innovative 'Automatic Waste Sorter' that utilizes advanced technology to sort waste accurately and efficiently. The system's core is driven by a Google Coral Dev Board, with additional peripherals such as an Arduino, stepper motors, proximity sensors, a webcam, and object detection (machine learning).

每周技术分享，点击watch，更新时收到推送

Data_project_template ⭐ 6

This project template is created for individuals who find it useful for their Data Analysis or ML projects. It serves as a beta version, offering a structured architecture and code to perform essential steps. The template is optimized for GitHub compatibility and encourages collaboration among colleagues.

Load2python ⭐ 6

生命太短暂，不如用Python。将Python用于机器学习、网络爬虫、图像处理，我的Python学习

Pet_projects ⭐ 6

🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.

Barcode Runners Recognizer ⭐ 6

An algorithm that is able to recognize barcodes from race numbers of runners

Course_kschool_ds_master ⭐ 5

En este repositorio podrás encontrar los ficheros y notebooks que voy elaborando mientras curso el máster de data science en Kschool. Por norma general contendrán una breve introducción teórica, y una parte más práctica en las que se irá alternando texto y código.

Tech Books ⭐ 5

This repository is for tech bookworms

Machine Learning ⭐ 5

In this repository, I have written about my experiences in studying Machine learning. Also, I have included the solutions of some Machine learning exercises and my educational projects.

Git Datasets ⭐ 5

Declaratively create, transform, manage and version ML datasets.

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