GabrielLin's starred repositories
HiGitClass
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
research_resources
Resources of CQU CS 1701 research, include NLP, Knowledge Graph,Cloud Computing, etc.
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
30-Days-of-Python
Learn Python for the next 30 (or so) Days.
gpt-paper-title-generator
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
ai-passwords
Password lists generated by deep learning algorithms.
50-Days-of-ML
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
TextAugmentation-GPT2
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Coarse-to-Fine-Review-Generation
this repository contains the source code for the ACL 2019 paper "Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding"
interview_internal_reference
2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
AI-Job-Recommend
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）
Machine-Learning-Book
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！
transferlearning-tutorial
《迁移学习简明手册》LaTex源码
Find-a-Machine-Learning-Job
找一份机器学习工作（算法工程师），需要提纲（算法能力）挈领（编程能力），充分准备。 本人学习和在找工作期间受到了很多前辈们的帮助，目前已经找到心仪的工作，撰写此文献给那些在求职路上有梦有汗水的人们！2020秋招算法，难度剧增！没有选择，只能迎难而上。
BERT-for-Sequence-Labeling-and-Text-Classification
This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.