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Columbia University
- https://linyanghe.github.io/
Highlights
- Pro
Stars
PyTorch code and models for VJEPA2 self-supervised learning from video.
A cross-species neural foundation model for end-to-end speech decoding
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Utility for behavioral and representational analyses of Language Models
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
Tools and functions for neural data processing and analysis in python
Official repository for the paper "Behavior measures are predicted by how information is encoded in an individual’s brain"
Official Implementation for NeurIPS'23 paper Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Utilities to use HCP and HCP-like data with nilearn and other Python tools
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A playbook for systematically maximizing the performance of deep learning models.
Code for data analysis and visualization for the data descriptor "Multimodal brain responses during movie watching"
A list of openly available datasets in (mostly human) electrophysiology.
ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks
Matlab functions for ECoG/MER data manipulation and analysis
Image processing pipeline for ECoG data
[CVPR 2023 (Highlight)] Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Foundational Models for State-of-the-Art Speech and Text Translation
Enabling the Windows Subsystem for Linux to include support for Wayland and X server related scenarios
Visualizer for neural network, deep learning and machine learning models
🚀 State-of-the-art parsers for natural language.