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100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

awesome-public-datasets

A topic-centric list of HQ open datasets.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cbam-keras

CBAM implementation on Keras

cbam-tensorflow

CBAM implementation on TensowFlow

cdcgan-keras

Conditional Deep Convolutional GAN

classification_models

Classification models trained on ImageNet. Keras.

clip

Contrastive Language-Image Pretraining

cnn_finetune

Fine-tune CNN in Keras

conditional-gans-pytorch

CGAN ProjectionCGAN ACGAN InfoGAN Pytorch

cv_interview

I hope this repo can help you a lot!

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

densenet

DenseNet implementation in Keras

densenet-cifar10

Train DenseNet on Cifar-10 based on Keras

dl-based-porosity-characterization

gan_metrics-tensorflow

Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans

This is a repository about Generative Adversarial Networks. Mainly for generate gaussian curve.

generative-models

This project aim to share the knowledge and code concerning generative models.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

image_augmentor

Data augmentation tool for images

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-grad-cam

An implementation of Grad-CAM with keras

lstm

基于LSTM神经网络的时间序列预测

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

pytorch-fid

Compute FID scores with PyTorch.

pytorch-gan-collections

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.