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Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A list of awesome papers and resources of recommender system on large language model (LLM).
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。
Master programming by recreating your favorite technologies from scratch.
Crack LeetCode, not only how, but also why.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
The official GitHub page for the survey paper "Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond". And this paper is under review.
Examples and guides for using the OpenAI API
📺 Discover the latest machine learning / AI courses on YouTube.
Von (or vonNeumarkt) is a suite of AI enriched tools for helping academic researchers
Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
A curated list of resources for using LLMs to develop more competitive grant applications.
Companion webpage to the book "Mathematics For Machine Learning"
Plain python implementations of basic machine learning algorithms
⏰ AI conference deadline countdowns
Implementations of selected inverse reinforcement learning algorithms.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
PyTorch implementation of Trust Region Policy Optimization
Enhance Zotero 7, 8, and 9 with recommended plugins, essential resources, note templates, tag actions, GPT command tag, etc.