hbu-mlc-3 Goto Github PK

arctic-captions

arctic-captions-tensorflow-add_pkl_process

awesome-rl

Reinforcement learning resources curated

cascade-forests

Implementation of https://arxiv.org/pdf/1702.08835.pdf in scikit-learn

cnn-benchmarks

Benchmarks for popular CNN models

cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

cnn-vis

Use CNNs to generate images

cnn_keras

CNN | Keras | CAPTCHA recognition（卷积神经网络、Keras框架、验证码识别）

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140所大学采用教学。

dqn

DeepMind DQN from https://sites.google.com/a/deepmind.com/dqn/

everyday

从今天开始，要么写代码要么写文档

everydaysport

生命在于运动！

facedetection_cnn

Multi-view Face Detection Using Deep Convolutional Neural Networks

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

gcforest

Python implementation of gcForest

gym

A toolkit for developing and comparing reinforcement learning algorithms.

jieba

结巴中文分词

joyful-pandas

Pandas中文教程

keras-io

Keras documentation, hosted live at keras.io

mathworks-excellence-in-innovation

Capstone and senior design projects for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.

openrefine

OpenRefine is a free, open source power tool for working with messy data and improving it

oucml

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

q-learning-grid-world-test

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

solutions to the examples and exercises

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882