An Open Source Machine Learning Framework for Everyone
Deep learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
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Good first issues
Convert the docstrings of examples in `examples/*` to use Markdown formatting
Good first issue type:docs stat:contributions welcomeGood first issues
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Good first issues
Remove unpack() in torch/csrc/nn/type_checks.h and its caller functions in the codebase
good first issue module: internalsCaffe: a fast open framework for deep learning.
Good first issues
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A complete daily plan for studying to become a machine learning engineer.
📚 A practical approach to machine learning.
The most cited deep learning papers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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.
The fastai deep learning library, plus lessons and tutorials
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
Good first issues
Show doc['id'] or at least some other infos for errors when training with CLI
help wanted (easy) enhancementOxford Deep NLP 2017 course
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A curated list of awesome Deep Learning tutorials, projects and communities.
100-Days-Of-ML-Code中文版
Simple and ready-to-use tutorials for TensorFlow
PyTorch Tutorial for Deep Learning Researchers
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Essential Cheat Sheets for deep learning and machine learning researchers
Face recognition with deep neural networks.
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.
A neural network that transforms a design mock-up into a static website.
A WebGL accelerated JavaScript library for training and deploying ML models.
Good first issues
Learn about deep-learning
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