lansatiankong's repositories
LLM-Factuality-Survey
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
algorithm-note
该系列包括数组，链表，树，图，递归，DP，有序表等相关数据结构与算法的讲解及代码实现。
Annotated-ML-Papers
Annotations of the interesting ML papers I read
awesome-nlg
A curated list of resources dedicated to Natural Language Generation (NLG)
ChatGLM-Efficient-Tuning
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
chatglm_finetuning
chatglm 6b finetuning and alpaca finetuning
CompareNet_FakeNewsDetection
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
flash-attention
Fast and memory-efficient exact attention
hello-algorithm
🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴 百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图 （右侧来个 star 吧 🌹，English version supported）
KBQA-for-Diagnosis
Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统
langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
Megatron-LM
Ongoing research training transformer models at scale
NLP-Interview-Notes
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。
PandaOCR
PandaOCR - 多功能OCR图文识别+翻译+朗读+弹窗+公式+表格+图床+搜图+二维码
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ranking
Learning to Rank in TensorFlow
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
SPACES
端到端的长本文摘要模型（法研杯2020司法摘要赛道）
StreamMiner
Computational Fact-Checking Algorithm on Knowledge Graphs
Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt
TsetlinMachine
Code and datasets for the Tsetlin Machine
UnifiedEmbeddingModel
Implementation of unified embedding model from Embedding-based Retrieval in Facebook Search.
UQA-fever
Code - Unsupervised Question Answering for Fact-Checking
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020
vector-quantize-pytorch
Vector Quantization, in Pytorch