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examples-fine-tuning-stable-diffusion

Deep Learning Examples

exclusively-dark-image-dataset

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

executor-clip-encoder

Encoder that embeds documents using either the CLIP vision encoder or the CLIP text encoder, depending on the content type of the document.

executor-image-clip-encoder

CLIPImageEncoder is an image encoder that wraps the image embedding functionality using the CLIP

executor-text-clip-encoder

Encode text into embeddings using the CLIP model.

executor-text-clip-text-encoder

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

extract-information-from-identity-card-ocr

From identity card image, this repo detect 4 corners, align by OpenCV, then detect word in image and recognize word by Transformer OCR.

facad_attr-fashion-attribute-manipulation

Fashion Attribute Manipulation

face-clustering-1

Implements "Clustering a Million Faces by Identity"

face-image-motion-model

Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.

face-makeup-by-example

OpenCV python program automatic facial makeup

face-parsing.pytorch-gan

Using modified BiSeNet for face parsing in PyTorch

face-transformer

Face Transformer for Recognition

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face_orientation

face_pytorch-metric-arcface-cosface-sphereface

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facealogrithmcompare-vargfacenet-face-recognition

人脸识别算法比较

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

facenet-pytorch-vggface2-triplet-loss

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

facerecognition-triplet-loss

Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目，提供一个小型数据集用作验证，使用三元组损失函数(Triplet loss)提升准确率和泛化能力，对FaceNet进行了一种实现。

faceswap-deepfake-pytorch

Faceswap with Pytorch or DeepFake with Pytorch

faceswap_pytorch

Deep fake ready to train on any 2 pair dataset with higher resolution

facex-zoo

A PyTorch Toolbox for Face Recognition

facial-expression-classifier-with-pytorch

facialclusteringpipeline_clustering_face

faiss-serving

A lightweight Faiss HTTP Server 🚀

faiss_kmeans_spam-gpu

Bert-server と Faiss を利用した大規模データ（spam-mail text）の高速クラスタリング