kejian's repositories
alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
SFT_function_learning
Explore what LLMs are really leanring over SFT
imitation
Clean PyTorch implementations of imitation and reward learning algorithms
autotrain-advanced
🤗 AutoTrain Advanced
LLM-eval-survey
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
private-transformers
make differentially private training of transformers easy
diff_prune_reparam
Drop-in reparameterization of different PyTorch models for Diff Pruning (Guo et al. 2020)
DiffPruning
Parameter Efficient Transfer Learning with Diff Pruning
guide
The Student's Guide to @lintool
gnn-project
A Graph Neural Network project on HIV data
pytorch_geometric
Graph Neural Network Library for PyTorch
diagrams
:art: Diagram as Code for prototyping cloud system architectures
GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
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
deep_gcns_torch
Copy of DeepGCN
zombie-world-427
Final project for CPSC 427 (Intelligent Robotics) at Yale, with Mudi Yang and Bingyi Yang.
Ebooks-Shared
:book: Ebook share
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
DL4NLP-courses
From July 2021 to January 2022, taking a down-top approach, I am revisiting major DL4NLP-related courses released online as well as some ML basics. Here are my notes and codes.
COMA_DQJL
MARL on DQJL problem
nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
social-bias-in-scientific-MLMs
This is the group project from Kejian Shi, Chuwei Xu, Leyi Yan for NYU MLLU class Sp21
github-issue-templates
:symbols: A collection of GitHub issue and pull request templates
ML_Proj_Mushrooms
CS4563 ML project at NYU with Junjie Ge