caihengyu520 Goto Github PK

adanet

Fast and flexible AutoML with learning guarantees.

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

afn

Code release for "Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach".

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

autodl

autokeras

Accessible AutoML for deep learning.

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Model Compression & Acceleration and Lightweight Structures, 3.) Hyperparameter Optimization, 4.) Automated Feature Engineering.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

caffe

Caffe: a fast open framework for deep learning.

caffe-mpi.github.io

caffe-tensorflow

Caffe models in TensorFlow

caihengyu520.github.io

博客

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cat

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cbang

C! (cbang) is a library of cross-platform C++ utilities.

cnngraph

A tool that automatically extracts network structures from Tensorflow model files

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

darts

Differentiable architecture search for convolutional and recurrent networks

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-laering

CNN RNN学习

deep-visualization-toolbox

DeepVis Toolbox

deepembeddingmodel_zsl

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deeplearning_demo

some demo

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models