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ad-papers

Papers on Computational Advertising

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

advanced-deep-learning-and-reinforcement-learning-deepmind

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ai

ai-papers

Top influential pdf research papers in computer science/artificial intelligence/machine learning

ai-project1

I have used informed and uninformed searches to find the optimal path in the pacman-food-maze. The search algorithms used are A*(A star) graph search, Greedy search, Depth first search, Breadth first search and Uniform cost search.

ai-project2-multiagentpacman

In this project, I have implemented an autonomous pacman agent to play against one or more adversarial agents. The algorithms used are: Minimax - for adversarial agents acting optimally Alpha beta pruning - to speed up minimax Expectimax - for partially random and partially adversarial agents I also implemented a Reflex agent that extracted feat…

ai-project3-reinforcementlearning

In this project I have implemented an autonomous pacman agent using Q-learning and value iteration methods using given mdp (Markov Decision Process). I have also implemented a crawler bot who learns to crawl on two legs using reinforcement learning. A game called grid world is also implemented.

ai-project4-bayes-hmm

In this profect I have used exact inference and approximate inference methods to track down invisible ghosts that gave noisy sensor readings. In approximate inference, I have used particle filter and joint particle filter methods. In exact inference, I have used dynmaic Bayes net and HMMs (Hidden Markov Models).

algonotes

公众号【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

android-image-search-engine

In this app, you can just input an image and then you can use the image as key to search similar images. I use Perception hash algorithm to process the image input.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

attention

some attention implements

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention_is_all_you_need

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-rl

Reinforcement learning resources curated

bandit

Bandit algorithms and test framework in Java

bert

TensorFlow code and pre-trained models for BERT

bert-chainer

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

book

Deep Learning 101 with PaddlePaddle （深度学习框架入门教程）

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

cikm_analyticup_2017

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

cloudera-homework

Homework for Special Topic class, from Cloudera "Apache Hadoop – A course for undergraduates"

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

coding-interview-university

A complete computer science study plan to become a software engineer.

colab_codes

Store the colab notebooks