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River's repositories

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

Language:PythonMIT010

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, and RoBERTa)

Language:Jupyter NotebookApache-2.0010

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

Language:PythonMIT010

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

Language:PythonApache-2.0010

Coloring-greyscale-images-in-Keras

Coloring B&W portraits with neural networks.

Language:Jupyter NotebookMIT010

CR-GAN

Yu Tian et al. "CR-GAN: Learning Complete Representations for Multi-view Generation", IJCAI 2018

Language:Python010

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Language:LuaNOASSERTION010

DEC-keras

Keras implementation for Deep Embedding Clustering (DEC)

Language:Python010

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Language:Jupyter NotebookMIT010

ECNU-Dissertations-Latex-Template

华东师范大学硕（博）士论文LaTex模板

Language:TeXNOASSERTION010

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Language:Jupyter NotebookBSD-3-Clause010

Finetune_YOLOv3_Part_detection

I fine-tune the YOLOv3 model by changing the output classes to do some part detection.

Language:Python000

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

Language:PythonApache-2.0010

generative_inpainting

DeepFill v1/v2, Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Language:PythonNOASSERTION010

IGOS

Visualizing Deep Networks by Optimizing with Integrated Gradients (I-GOS)

Language:PythonMIT010

keras

Deep Learning for humans

Language:PythonNOASSERTION010

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Language:PythonMIT010

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Language:PythonMIT000

learnopencv

Learn OpenCV : C++ and Python Examples

Language:Jupyter Notebook010

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Language:Java010

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

Language:PythonMIT010

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

Language:Python010

openvino_debug

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Apache-2.0000

PrivacyPilot

A simple and easy-to-use local LLM plugin that helps you efficiently handle local private data.

Apache-2.0000

rbm-ae-tf

Tensorflow implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.

Language:PythonMIT010

Sparse_autoencoder

Implementing sparse autoencoder for MNIST data classification using keras and tensorflow

Language:Python010

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Language:PythonApache-2.0010

tied-autoencoder-keras

Autoencoder layers (with tied encode and decode weights) for Keras

Language:Python010

Unsupervised-Segmentation

A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki

Language:Python010

USTC-CS-Courses-Resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

Language:C++010