1355 Open source projects that are alternatives of or similar to Deep Learning Interview Book

💎 免费的编程资源大全，持续更新！🔥 覆盖各种语言和方向（Java \ Python \ C++ \ JavaScript \ Golang \ 前端 \ 后端等）的学习路线、贴心教程、项目实战、编程书籍、面试合集、实用资源等，对程序员非常有帮助！

[CVPR 2017] Torch code for Visual Dialog

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

IROS2020 paperlist by paopaorobot

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

基础理论+JS框架应用+实践，从0到1构建整个前端算法体系

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

Graph Convolution Network for NLP

Natural language processing pipeline for book-length documents

A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.

💫 REST microservices for various spaCy-related tasks

A curated list of System Design interview questions for SDE-1 (Experienced),SDE-2 and above.

gitbook地址

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Java开源项目之「自学编程之路」：学习指南+面试指南+资源分享+技术文章

A curated list of dedicated resources and applications

Java开发者或者大数据开发者面试知识点整理

Applying Data Science and Machine Learning to Solve Real World Business Problems

Implementation of character based convolutional neural network

Book recommender system using collaborative filtering based on Spark

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

A curated list of SLAM resources

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

This repository includes resources which are more than sufficient to prepare for google interview if you are applying for a software engineer position or a site reliability engineer position

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors

Jack the Reader

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Accelerated deep learning R&D

The most common question-patterns for any coding-interview

Resources for conservation, development, and documentation of low resource (human) languages.

🔥2021互联网求职面试知识复习

IROS2018 SLAM papers (ref from PaoPaoRobot)

Neural Models for Conversational AI

Data structures and algorithms for interview preparation

Korean HateSpeech Dataset

Machine Learning notebooks for refreshing concepts.

The Natural Language Decathlon: A Multitask Challenge for NLP

This repository contains some datasets that I have collected in Recommender Systems.

Tool for interactive embeddings visualization

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

💥 displaCy-ent.js: An open-source named entity visualiser for the modern web

Dilated CNNs for NER in TensorFlow

Sentiment analysis library for russian language

A powerful Swift framework for evaluating mathematical expressions

Use LiDAR to map the static world

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

Oxford Deep NLP 2017 course - Practical 1: word2vec

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

AI 算法岗简历模板

📖 A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

This repository contains curated technical interview questions by fn+geeks community