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An elegant PyTorch offline reinforcement learning library for researchers.
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Benchmarks and examples for the Nemo rule reasoner
Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Curated papers on Large Language Models in Healthcare and Medical domain
awesome grounding: A curated list of research papers in visual grounding
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Data and codes for faithful rule extraction.
Awesome-LLM: a curated list of Large Language Model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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。
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
exploring whether LLMs perform case-based or rule-based reasoning
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
KG-BERT: BERT for Knowledge Graph Completion
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
A playbook for systematically maximizing the performance of deep learning models.