Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
60+ Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), reinforcement learning (ppo, dqn), capsnet, distillation, ...
A curated list of awesome Deep Learning tutorials, projects and communities.
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Ben Xiang Mu Jiang <
machine learning and deep learning tutorials, articles and other resources
Simple and ready-to-use tutorials for TensorFlow
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Jing Xuan Ji Qi Xue Xi ,NLP,Tu Xiang Shi Bie , Shen Du Xue Xi Deng Ren Gong Zhi Neng Ling Yu Xue Xi Zi Liao ,Sou Suo ,Tui Jian ,Yan Gao Xi Tong Jia Gou Ji Suan Fa Ji Zhu Zi Liao Zheng Li . Suan Fa Da Niu Bi Ji Hui Zong
A best practice for tensorflow project template architecture.
Machine learning glossary
A computer vision closed-loop learning platform where code can be run interactively online. Xue Xi Bi Huan <
A TensorFlow & Deep Learning online course I taught in 2016
A clear, concise, simple yet powerful and efficient API for deep learning.
The deeplearning algorithms implemented by tensorflow
In-depth tutorials for implementing deep learning models on your own with PyTorch.
PyTorch tutorials, examples and some books I found [(Bu Ding Qi Geng Xin )] Zheng Li De PyTorch Zui Xin Ban Jiao Cheng , Li Zi He Shu Ji
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Ben Cang Ku Jiang PyTorchGuan Fang Shu Ji <
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +...