Deep Learning

Deep Learning for humans

Caffe: a fast open framework for deep learning.

Deep Learning Book Chinese Translation

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

PyTorch library aimed at accelerating 3D deep learning research

Trax — your path to advanced deep learning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DeepFaceLab is the leading software for creating deepfakes.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.