Deep Learning Book Chinese Translation
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
The most cited deep learning papers
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Books for machine learning, deep learning, math, NLP, CV, RL, etc
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Code for my medium article: ["Faster Notes with Python and Deepย Learning"](https://medium.com/p/b713bbb3c186/edit)
In our work, we propose AugNet, a new deep learning training paradigm to learn image features from a collection of unlabeled pictures.
deep learning for image processing including classification and object-detection etc.
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
Machine Learning and Deep Learning lessons.
Developed using Pybullet, OpenCV and Deep Learning
This project contains codes for solving complex problems with Spark. It also shows extension of new libraries and API with Spark such as Deep Learning with Spark, Geo-spatial analytics with Spark etc
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Explaining the genetic causality for complex diseases by deep association kernel learning
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links to conference publications in graph-based deep learning
A small library for managing deep learning models, hyperparameters and datasets
This repository contains my notes about fundamental topics in Machine Learning, Deep Learning, and Data Science.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Deep learning toolkit for biomedical imaging
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
Data Science Python AI / ML / DL Guide (Algorithms , Use Cases)
The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
A small library for managing deep learning models, hyperparameters and datasets
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Complete training data platform for machine learning delivered as a single application.
Cloud-native neural search framework for ๐๐ฃ๐ฎ kind of data
Deep learning library for solving differential equations and more
Repository of best practices for deep learning in Julia, inspired by fastai
... I send out a list of most interesting libraries and apps in the "Deep Learning" section to about 1100ย subscribers.
Do you want it too?