A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
Repository Index
87,573 visible repositories in the index
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The fast.ai course notebooks
- deep-learning
- fastai
- jupyter-notebooks
- machine-learning
Open-source and strong foundation image recognition models.
- tag2text-iclr2024
- recognize-anything
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
- projects
- python-projects
- machine-learning
- artificial-intelligence
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Lectures on scientific computing with python, as IPython notebooks.
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
All notes and materials for the CS229: Machine Learning course by Stanford University
- machine-learning
- stanford-university
- neural-networks
- cs229
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
🛠 All-in-one web-based IDE specialized for machine learning and data science.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
- deep-learning
- tensorflow-examples
- convolutional-neural-networks
- recurrent-neural-networks
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- causal-inference
- python
- causality
- data-science
A Code-First Introduction to NLP course
- nlp
- machine-learning
- data-science
- python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
A complete course for learning Bitcoin programming and usage from the command
18.06 course at MIT
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Open-source demos hosted on Dash Gallery
- plotly-dash
- dash
- plotly
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
- machine-learning
- jupyter-notebook
- python
- python3
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)