andyjzhao Goto Github PK

alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

andyjzhao.github.io

ape

dgl-gcn_on_ogbarxiv

dgl_forked

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dna_arxiv

evo

DNA foundation modeling from molecular to genome scale

exact-k-recommendation

fastchat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

glem

gmnn

Graph Markov Neural Networks

gophormer

graphtext

gstorage

guidance

A guidance language for controlling large language models.

hgsl

Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks

idgl

Code & data accompanying the paper "Deep Iterative and Adaptive Learning for Graph Neural Networks".

jxz1244_csds_homeworks

Homework for CSDS435 and CSDS600

kge-tspf

Predicting tissue-specific protein functions using KGE models

langchain

⚡ Building applications with LLMs through composability ⚡

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

llama

Inference code for LLaMA models

magdataextraction

matrix_derivatives

This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.

mvse

Source code of ECML/PKDD2021 paper "Multi-View Self-Supervised Heterogeneous Graph Embedding"

myarxiv

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nbfnet

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

nshe

Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"

nvidia-htop

A tool for enriching the output of nvidia-smi.