Source code for the EMNLP 2025 paper “DM-Codec: Distilling Multimodal Representations for Speech Tokenization”

This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock…

Refine high-quality datasets and visual AI models

Vector (and Scalar) Quantization, in Pytorch

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

StableLM: Stability AI Language Models

Inference code for Llama models

List of academic resources on Multimodal ML for Music

A collection of resources and papers on Diffusion Models

Pytorch implementation of various Knowledge Distillation (KD) methods.

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Interview questions

Reading list for research topics in multimodal machine learning

Reading list for research topics in multimodal machine learning

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

This repo contains annotated research papers that I found really good and useful

A list of resources to fund your MS and/or PhD, particularly in computer science.

NYU Deep Learning Spring 2020

A collection of various deep learning architectures, models, and tips

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

A repository in preparation for open-sourcing lottery ticket hypothesis code.

🤖 Machine Learning Summer School Guide

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library