machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured...
Tensor library for machine learning
Free MLOps course from DataTalks.Club
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A toolkit for making real world machine learning and data analysis applications in C++
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression an...
Your new Mentor for Data Science E-Learning.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Convert Machine Learning Code Between Frameworks
A hyperparameter optimization framework
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AW...
A curated list of references for MLOps
Open3D: A Modern Library for 3D Data Processing
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Open Machine Learning Compiler Framework
✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Learn ML engineering for free in 4 months! Register here 👇🏼
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，...
机器学习相关教程
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Nmap - the Network Mapper. Github mirror of official SVN repository.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similari...
A MNIST-like fashion product database. Benchmark :point_down:
The "Python Machine Learning (1st edition)" book code repository and info resource
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
🔥Highlighting the top ML papers every week.
A collection of resources and papers on Diffusion Models
Solve puzzles. Learn CUDA.
Low-code framework for building custom LLMs, neural networks, and other AI models
A collaboration friendly studio for NeRFs
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
🐍 Geometric Computer Vision Library for Spatial AI
Turi Create simplifies the development of custom machine learning models.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. First posted in 2016. Pull requests wel...
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science...
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open source annotation tool for machine learning practitioners.
Refine high-quality datasets and visual AI models