Popular GitHub Repositories for Topics

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Reading list for research topics in multimodal machine learning

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

A comprehensive reference for all topics related to Natural Language Processing

? 热门新闻聚合分析工具 - 自媒体微信公众号等新闻类文章辅助工具，支持今日头条、百度热搜、微博、抖音、知乎、B 站、财联社等11个中文热门平台，分析关键词频率，生成报告并支持飞书推送等。持续追踪热点变化。【欢迎 star ⭐支持开发者，后期考虑增加企业微信，钉钉，telegram等推送渠道，欢迎支持】【不定期更新功能】

Machine Learning Journal for Intermediate to Advanced Topics.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

A collection of mini-projects covering sub-topics in Langchain

Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

? A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

List of DL topics and resources essential for cracking interviews

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

A fine-tuned model from Qwen2-1.5B-Instruct, capable of handling sensitive topics like violence, explicit content. / 从 Qwen2-1.5B-Instruct 微调，能处理各类敏感话题

Awesome Resources for Advanced Computer Vision Topics