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FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-makin…
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A list of tools, papers and code related to Fake Audio Detection.
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
Graph Neural Network Library for PyTorch
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
A curated list of product management advice for technical people.
Must-read papers on graph neural networks (GNN)
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
This repository is used for synchronized storage of code records for the corresponding chapters of the book - Machine Learning with PyTorch and Scikit-Learn.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Build Real-Time Knowledge Graphs for AI Agents
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
本文旨在整理文本生成领域国内外工业界和企业家的研究者和研究机构。排名不分先后。更新中，欢迎大家补充
自然语言处理NLP（自然语言生成NLG、自然语言理解NLU）、自然语言学术会议大盘点、自然语言大佬介绍、NLP研究机构、NLP资料分享、NLP学习资源分享、NLP学术论文介绍
《动手学大模型Dive into LLMs》系列编程实践教程
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!