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Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory wh…
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
tracking papers, datasets, and models of "large language model (LLM) for time series"
Official implementation for paper "Predictive Modeling with Temporal Graphical Representation on Electronic Health Records"
HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
Official Codes for "Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes"
Code for "Goal-Conditioned Predictive Coding for Offline Reinforcement Learning" (NeurIPS 2023)
[NeurIPS 2023] Implementation of Elastic Decision Transformer
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency (AAAI24)
This is the official code for NeurIPS 2023 paper "Learning Unseen Modality Interaction"
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)
Reading list for research topics in multimodal machine learning
repository for Publicly Available Clinical BERT Embeddings
Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
Author's PyTorch implementation of BCQ for continuous and discrete actions
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
A place to store relevant research papers and resources
A collection of offline reinforcement learning algorithms.