An Open Source Machine Learning Framework for Everyone
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.
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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 welcomescikit-learn: machine learning in Python
Good 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: internalsTesseract Open Source OCR Engine (main repository)
Good first issues
Caffe: a fast open framework for deep learning.
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The world's simplest facial recognition api for Python and the command line
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
100 Days of ML Coding
The Julia Language: A fresh approach to technical computing.
Good first issues
A complete daily plan for studying to become a machine learning engineer.
📚 A practical approach to machine learning.
The most cited deep learning papers
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, Flink and DataFlow
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
List of Computer Science courses with video lectures.
A curated list of awesome Deep Learning tutorials, projects and communities.
100-Days-Of-ML-Code中文版
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Essential Cheat Sheets for deep learning and machine learning researchers
Learn about machine-learning
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