deisler134 Goto Github PK

graphpipe

Dead Simple ML Model Serving via a Standard Protocol

graph_nets

Build Graph Nets in Tensorflow

hackingneuralnetworks

A small course on exploiting and defending neural networks

he-transformer

nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

hops

Hops Hadoop is a distribution of Apache Hadoop with distributed metadata.

horizon

A platform for Applied Reinforcement Learning (Applied RL)

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

humpback-whale-identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject 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.

imagebind

ImageBind One Embedding Space to Bind Them All

imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

image_foreground_edge_cognition

using foreground image mask to generate trimap, build the network to refine edge of foreground

image_process

Apply image process Algorithm

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

insightface

State-of-the-art 2D and 3D Face Analysis Project

introtodeeplearning_labs

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

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter

Jupyter metapackage for installation, docs and chat

kaggle_project

kissing-detector

Kissing Detector - CS231n project

knowledgegraphdata

史上最大规模1.4亿中文知识图谱开源下载

lab

A customisable 3D platform for agent-based AI research

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learning-to-learn

Learning to Learn in TensorFlow

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

lucid

A collection of infrastructure and tools for research in neural network interpretability.

machine-learning

Repository for activities of the machine learning committee