claber Goto Github PK

ash

:shell: A Modular Bash Framework

awesome-llm-tabular

Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data

baichuan2

A series of large language models developed by Baichuan Intelligent Technology

chainer-gan-lib

Chainer implementation of recent GAN variants

cliteswc2021

code_learning

conv_arithmetic

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

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-learning-with-theano

Deep Learning with Theano, published by Packt

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_learning_estimator_labels

深度学习，针对多目标任务，在推荐算法的ctr预估等场景中的应用，项目使用tensorflow estimator进行封装，包括esmm、mmoe模型

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

den

Lifelong Learning with Dynamically Expandable Networks

dmin

effectivetensorflow

TensorFlow tutorials and best practices.

euler

A distributed graph deep learning framework.

fast-rcnn

Fast R-CNN

fold

Deep learning with dynamic computation graphs in TensorFlow

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

maven_mahout_template

mpitutorial

MPI programming lessons in C and executable code examples

nlp-lang

这个项目是一个基本包.封装了大多数nlp项目中常用工具

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

oreilly-book-dl4j-examples

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

planetoid

Semi-supervised learning with graph embeddings

ro_sgns

Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)