An Open Source Machine Learning Framework for Everyone
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Updated
Aug 16, 2020 - C++
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.
An Open Source Machine Learning Framework for Everyone
Deep Learning for humans
scikit-learn: machine learning in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Tesseract Open Source OCR Engine (main repository)
The world's simplest facial recognition api for Python and the command line
Deepfakes Software For All
Caffe: a fast open framework for deep learning.
100 Days of ML Coding
The Julia Language: A fresh approach to technical computing.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A complete daily plan for studying to become a machine learning engineer.
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.
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
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
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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.
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.
100-Days-Of-ML-Code中文版
A curated list of awesome Deep Learning tutorials, projects and communities.
List of Computer Science courses with video lectures.
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics