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ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

acgan

The implement attention conditional GANs (AcGAN) model.

adience_align

This project provides alignment tools for faces, to be used as a preprocessing step before computer vision tasks on face images

adversarialnetspapers

The classical papers and codes about generative adversarial nets

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

augmentor

Image augmentation library in Python for machine learning.

awesome-caffe

Awesome Caffe

awesome-crowd-counting

Awesome Crowd Counting

awesome-rl

Reinforcement learning resources curated

beijbom_python_lib

Various python tools, including tools and wrappers for the Caffe deep learning toolbox. caffe.berkeleyvision.org

binaryconnect

Training Deep Neural Networks with binary weights during propagations

bitscalabledeephash

The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP2015

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe

Caffe: a fast open framework for deep learning.

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-heatmap

Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.

caffe-model

Python script to generate CNN models on Caffe

caffe_manual

Caffe使用教程

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

casia-thesis

自动化所硕博论文模板

clockwork-fcn

Clockwork Convnets for Video Semantic Segmenation

cnn-models

convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

convnets-keras

convolutional-neural-networks

A CNN implementaion in theano with many features such as dropouts, adagrad, momentum, svm layer and access to many datasets through skdata.

corl

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC

counterfactual-regret-minimization

Counterfactual regret minimization algorithm for Kuhn poker

crnn.mxnet

crnn in mxnet.can train with chinese characters

crow

Cross-dimensional weighting for aggregated deep convolutional features.