Clovee

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster_rcnn

Faster R-CNN

keras-resnet

Residual networks implementation using Keras-1.0 functional API

Machine-Learning-Session

matplotlib

matplotlib: plotting with Python

opencv

Open Source Computer Vision Library

opencv_exercises

opencv python exercises

Python-Machine-Learning-Cookbook

Code files for Python-Machine-Learning-Cookbook

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

traffic-signs

Building a CNN based traffic signs classifier.

unet

unet for image segmentation

ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

Visualising-LSTM-Activations

Visualising what each LSTM cell learns from data.