amankb Goto Github PK

2d-convolution-cuda

This is a simple 2d convolution written in cuda c which uses shared memory for better performance

academic-drawing

This is a project providing source codes (including Matlab and Python) for presenting experiment results.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithm_interview_notes-chinese-1

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

amankb.github.io

我的个人博客

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-latex-drawing

Drawing Bayesian networks, graphical models and framework for academic studies in LaTeX.

bert

NLP-pre-trained models for BERT

biocopymechanism

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

crazy-python

What the f*ck Python 中文翻译

cs224n-winter-together

an Open Course Platform for Stanford CS224n (2020 Winter)

cs224n-winter17-notes

Course notes for CS224N Winter17

cs231n-note-translation_cn

CS231课程笔记翻译

ddi

ddi code for paper

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-models

Keras经典网络结构实现

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

examples

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

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-algorithm

🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star，加入我们万人学习群！English Supported！

keras

keras官方代码示例(deep learning)

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang_algorithms

用python和sklearn两种方法实现李航《统计学习方法》中的算法

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍