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ad-papers

Papers on Computational Advertising

anything-3d

Segment-Anything + 3D. Let's lift anything to 3D.

ardronetoolkit

A toolkit for one quradrotor named ardrone

attention

some attention implements

autoint

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

awesome-anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bert

TensorFlow code and pre-trained models for BERT

c

Compile and execute C "scripts" in one go!

c-1

C语言

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

camshiftkalman

An object tracking project using camshift and Kalman Filter based on OpenCV

cdbn

An implementation of Convolution Deep Belief Network (CDBN) using C++

cdbn_matlab

an implementation of Convolutional Deep Belief Network (CDBN) using Matlab

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

codelib

colornet

Neural Network to colorize grayscale images

colossalai

Making large AI models cheaper, faster and more accessible

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

dcgan

Deep Convolutional Generative Adversarial Networks - TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

deepinterestnetwork

deeplearning

Deep Learning (Python, C/C++, Java, Scala)

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.

deepnet

I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.

dien

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dig

A toolkit for data mining and machine learning