Hannibal046

Awesome-LLM. Awesome-LLM: a curated list of Large Language Model

nanoRWKV. The nanoGPT-style implementation of RWKV Language Model - an RNN with GPT-level LLM performance.

xRAG. [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

nanoColBERT. Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).

SelfMemory. [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

nanoDPR. Simple replication of DPR (Dense Passage Retrieval)

RWKV-howto. possibly useful materials for learning RWKV language model.

PlugLM. [ACL2023] Source code for Decouple knowledge from paramters for plug-and-play language modeling

GPT-OSS-BrowseCompPlus-Eval. Evaluating GPT-OSS on BrowseComp-Plus with Native Browsering Tools

GridTST. Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers

SCALE. [ACL 2024] Source code for SCALE: Synergized Collaboration of Asymmetric Language Translation Engines

NMT_with_contrastive_memories. [EMNLP2022] Source code for Neural Machine Translation with Contrastive Translation Memories

SDDS. [ACL2023] Source code for Dialogue Summarization with Static-Dynamic Structure Fusion Graph

Customized-LLM. A comprehensive list about how to customize your own LLM

nanoV2T. Simple replication of vec2text for pedagogy and fun

LaMP. Unofficial Reproduction of LaMP benchmark for Personalized LLM

awesome-deep-learning-papers. The most cited deep learning papers

openai-cookbook. Examples and guides for using the OpenAI API

awesome. 😎 Awesome lists about all kinds of interesting topics

Bison. Python

vlm-eval. Duplication of TRI-ML/vlm-evaluation with additional support for more models

config. config file

transformers. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ChatGPT. Reverse engineered ChatGPT API

vlm-train. Python

UTR_NMT. Smalltalk

PicRepository. This a picture repository for my local markdown file