ucasiggcas Goto Github PK

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

bingdwendwen

使用python绘制冰墩墩

clustering

Implements "Clustering a Million Faces by Identity"

cnn-lstm-ctc-ocr-tensorflow

cocktail-party-problem

Implements the FastICA algorithm

datasets

A list of datasets (mostly publicly available) not just by data type but also according to information related to the domain a trained model would be applicable.

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

demo-python-image-similarity

fastica

A python version of fast and robust ICA based on the paper of Aapo Hyvärinen.

hadoop-ebook

hands-on-gpu-accelerated-computer-vision-with-opencv-and-cuda

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

icassp2019-tutorial

ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples

insightface_wrapper

This insightface model is converted by mmdnn

keras-audiodatagenerator

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

mynotes

notes

object-detection-ustc

深度学习实践实验：使用TensorFlow Object Detection API 进行实时目标检测（基于SSD模型）

rec-a-sketch

content discovery... IN 3D

resnet-1k-layers

Deep Residual Networks with 1K Layers

run_pip

run pip when you can't use pip install ***

self-attention-keras

自注意力与文本分类

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

ucasiggcas

Config files for my GitHub profile.

zalando-fashion-mnist

Evaluation of fashion-MNIST with a simple cnn