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 (1432)
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured...
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Tensor library for machine learning
Free MLOps course from DataTalks.Club
Your new Mentor for Data Science E-Learning.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experime...
Image augmentation for machine learning experiments.
NLTK Source
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A list of all named GANs!
A hyperparameter optimization framework
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A toolkit for making real world machine learning and data analysis applications in C++
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression an...
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Convert Machine Learning Code Between Frameworks
A curated list of references for MLOps
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AW...
Learn ML engineering for free in 4 months! Register here 👇🏼
Open3D: A Modern Library for 3D Data Processing
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Open Machine Learning Compiler Framework
Nmap - the Network Mapper. Github mirror of official SVN repository.
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，...
✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field 冰霜之地：源码解析、系统设计与工程实践笔记
机器学习相关教程
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similari...
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
A MNIST-like fashion product database. Benchmark :point_down:
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
🔥Highlighting the top ML papers every week.
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
Solve puzzles. Learn CUDA.
A collection of resources and papers on Diffusion Models
A collaboration friendly studio for NeRFs
Build local voice agents with open-source models
Low-code framework for building custom LLMs, neural networks, and other AI models
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
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.
🐍 Geometric Computer Vision Library for Spatial AI
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
Turi Create simplifies the development of custom machine learning models.