An Open Source Machine Learning Framework for Everyone
An implementation of "mixup: Beyond Empirical Risk Minimization"
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
Medical image registration using deep learning
A PyTorch library and evaluation platform for end-to-end compression research
Computer Vision Guide
Generative Inpainting Pytorch
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
LCNN: End-to-End Wireframe Parsing
PyTorch implementation of Super SloMo by Jiang et al.
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Toolkit to Hack Your Deep Learning Models
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
Snap N Eat
Food detection and recommendation with deep learning
Minimalist implementation of VQ-VAE in Pytorch
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
CardIO is a library for data science research of heart signals
50 Days Of Ml
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。
oneAPI Deep Neural Network Library (oneDNN)
OneFlow is a performance-centered and open-source deep learning framework.
Deep Mri Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Season 2 of @twosigma's artificial intelligence programming challenge
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
Train and visualize Hierarchical Attention Networks
Free Ai Resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
HDLTex: Hierarchical Deep Learning for Text Classification