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Course materials for Advanced Topics in Theoretical Neuroscience 2025 at Center for Theoretical Neuroscience, Columbia University
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
[NeurIPS'24 Poster] Official Repo for Paper "Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Diffusion on syntax trees for program synthesis
Open-Sora: Democratizing Efficient Video Production for All
Benchmarking LLMs' Psychological Portrayal
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Open source codebase powering the HuggingChat app
A "large" language model running on a microcontroller
Repository for the "Machine Learning for the Web" class at ITP, NYU
An LLM-powered advanced RAG pipeline built from scratch
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Robust Speech Recognition via Large-Scale Weak Supervision
fMRI-to-image reconstruction on the NSD dataset.
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
A guidance language for controlling large language models.
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published…
Representation Engineering: A Top-Down Approach to AI Transparency
Extracting spatial and temporal world models from LLMs
AI PDF chatbot agent built with LangChain & LangGraph
Simple language-driven navigation tasks for studying compositional learning
Clinical text summarization by adapting large language models