Zhen Lin

MiniCPM-V. A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

dspy. DSPy: The framework for programming—not prompting—language models

BioGPT. Python

attention_sinks. Extend existing LLMs way beyond the original training length with constant memory usage, without retraining

minGPT. A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

conformal-language-modeling. Conformal Language Modeling

UQ-NLG. Jupyter Notebook

python-persist_to_disk. Python

FastChat. An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

semantic-kernel. Integrate cutting-edge LLM technology quickly and easily into your apps

evals. Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

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

LVD. Locally Valid and Discriminative Prediction Intervals for Deep Learning Models

longformer. Longformer: The Long-Document Transformer

faiss. A library for efficient similarity search and clustering of dense vectors.

PyHealth. A Deep Learning Python Toolkit for Healthcare Applications.

UQ360. Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

dreambooth. Python

deepszUQ. Jupyter Notebook

HEBO. Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

stable-diffusion. A latent text-to-image diffusion model

ltt. Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

face-parsing.PyTorch. Using modified BiSeNet for face parsing in PyTorch

chemprop. Message Passing Neural Networks for Molecule Property Prediction

s2let. Fast wavelet transforms on the sphere.

pytorch-pne. PyTorch implementation of Probabilistic Network Ensembles on toy problems

rnn-blockwise-jackknife. Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.

influence-release. Jupyter Notebook

deep-learning-uncertainty. Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deepsleepnet. DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

pytorch_influence_functions. This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

U-Time. U-Time: A Fully Convolutional Network for Time Series Segmentation

academicpages.github.io. Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

SLEEPNET. Code repository for SLEEPNET paper