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activitynet

This repository is intended to host tools and demos for ActivityNet

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autokeras

accessible AutoML for deep learning.

biyelunwen

caffe

Caffe: a fast open framework for deep learning.

caffe-instance-normalization-and-guided-instance-normalization

caffe implement

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-1

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-pruned

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

caffe-windows

Configure Caffe in one hour for Windows users.

caffe-wrn-generator

Caffe Wide-Residual-Network (WRN) Generator

cjj_acml_2017

cjj_acml_2017

clot

CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation".

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

cnn_encoding

CNN_Encoding

dan

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

data-free-adversarial-distillation

Code and pretrained models for paper: Data-Free Adversarial Distillation

deep-residual-networks

Deep Residual Learning for Image Recognition

deepcompression-caffe

Caffe for Deep Compression

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

finalreport

generative-models

Generative Models by Stability AI

hashnet

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

hw-3_2d-em

hw-4_lm

hw-5_svm