An Open Source Machine Learning Framework for Everyone
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Updated
Aug 11, 2020 - C++
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
An Open Source Machine Learning Framework for Everyone
Deep Learning for humans
Open Source Computer Vision Library
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deepfakes Software For All
Caffe: a fast open framework for deep learning.
100 Days of ML Coding
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.
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.
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.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
DeepFaceLab is the leading software for creating deepfakes.
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
PyTorch Tutorial for Deep Learning Researchers
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.
100-Days-Of-ML-Code中文版
A curated list of awesome Deep Learning tutorials, projects and communities.
Simple and ready-to-use tutorials for TensorFlow
Oxford Deep NLP 2017 course
Mozilla Voice STT is an open source speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
A WebGL accelerated JavaScript library for training and deploying ML models.