Topic: machine-learning Goto Github
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
machine-learning,:memo: An awesome Data Science repository to learn and apply for real world problems.
Organization: academic
machine-learning,The world's simplest facial recognition api for Python and the command line
User: ageitgey
machine-learning,⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
User: ageron
machine-learning,Roadmap to becoming an Artificial Intelligence Expert in 2022
Organization: amai-gmbh
Home Page: https://i.am.ai/roadmap
machine-learning,100 Days of ML Coding
User: avik-jain
machine-learning,TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
User: aymericdamien
machine-learning,The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
User: binhnguyennus
machine-learning,Caffe: a fast open framework for deep learning.
Organization: bvlc
Home Page: http://caffe.berkeleyvision.org/
machine-learning,OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Organization: cmu-perceptual-computing-lab
Home Page: https://cmu-perceptual-computing-lab.github.io/openpose
machine-learning,《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Organization: d2l-ai
Home Page: http://zh.d2l.ai
machine-learning,《机器学习》(西瓜书)公式详解
Organization: datawhalechina
machine-learning,Deepfakes Software For All
User: deepfakes
Home Page: https://www.faceswap.dev
machine-learning,List of Computer Science courses with video lectures.
User: developer-y
machine-learning,Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Organization: dmlc
Home Page: https://xgboost.readthedocs.io/en/stable/
machine-learning,Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
User: donnemartin
machine-learning,Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
User: eriklindernoren
machine-learning,📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
User: eugeneyan
machine-learning,💫 Industrial-strength Natural Language Processing (NLP) in Python
Organization: explosion
Home Page: https://spacy.io
machine-learning,The fastai deep learning library
Organization: fastai
Home Page: http://docs.fast.ai
machine-learning,吴恩达老师的机器学习课程个人笔记
User: fengdu78
machine-learning,Learn how to design, develop, deploy and iterate on production-grade ML applications.
User: gokumohandas
Home Page: https://madewithml.com
machine-learning,Google Research
Organization: google-research
Home Page: https://research.google
machine-learning,Cross-platform, customizable ML solutions for live and streaming media.
Organization: google
Home Page: https://mediapipe.dev
machine-learning,Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Organization: gradio-app
Home Page: http://www.gradio.app
machine-learning,🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Organization: huggingface
Home Page: https://huggingface.co/transformers
machine-learning,DeepFaceLab is the leading software for creating deepfakes.
User: iperov
machine-learning,The Julia Programming Language
Organization: julialang
Home Page: https://julialang.org/
machine-learning,Deep Learning for humans
Organization: keras-team
Home Page: http://keras.io/
machine-learning,🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Organization: labmlai
Home Page: https://nn.labml.ai
machine-learning,OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Organization: laion-ai
Home Page: https://open-assistant.io
machine-learning,Deep learning framework to train, deploy, and ship AI products Lightning fast.
Organization: lightning-ai
Home Page: https://lightning.ai
machine-learning,Visualizer for neural network, deep learning and machine learning models
User: lutzroeder
Home Page: https://netron.app
machine-learning,DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Organization: microsoft
Home Page: https://www.deepspeed.ai/
machine-learning,12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Organization: microsoft
Home Page: https://microsoft.github.io/ML-For-Beginners/
machine-learning,DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Organization: mozilla
machine-learning,Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
User: mxgmn
machine-learning,Monitor your servers, containers, and applications, in high-resolution and in real-time!
Organization: netdata
Home Page: https://www.netdata.cloud
machine-learning,Investment Research for Everyone, Everywhere.
Organization: openbb-finance
Home Page: https://my.openbb.co/app/terminal
machine-learning,AI-Powered Photos App for the Decentralized Web 🌈💎✨
Organization: photoprism
Home Page: https://www.photoprism.app
machine-learning,Tensors and Dynamic neural networks in Python with strong GPU acceleration
Organization: pytorch
Home Page: https://pytorch.org
machine-learning,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Organization: ray-project
Home Page: https://ray.io
machine-learning,scikit-learn: machine learning in Python
Organization: scikit-learn
Home Page: https://scikit-learn.org
machine-learning,Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
User: sebastianruder
Home Page: https://nlpprogress.com/
machine-learning,Streamlit — A faster way to build and share data apps.
Organization: streamlit
Home Page: https://streamlit.io
machine-learning,An Open Source Machine Learning Framework for Everyone
Organization: tensorflow
Home Page: https://tensorflow.org
machine-learning,The most cited deep learning papers
User: terryum
machine-learning,Tesseract Open Source OCR Engine (main repository)
Organization: tesseract-ocr
Home Page: https://tesseract-ocr.github.io/
machine-learning,Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Organization: thealgorithms
Home Page: https://thealgorithms.github.io/C-Plus-Plus
machine-learning,YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Organization: ultralytics
Home Page: https://docs.ultralytics.com
machine-learning,A complete daily plan for studying to become a machine learning engineer.
User: zuzoovn
Home Page: https://www.codementor.io/zuzoovn/how-i-plan-to-become-a-machine-learning-engineer-a4metbcuk
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.