Collection of advice for prospective and current PhD students

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

DoubleML - Double Machine Learning in Python

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

Causal Neural Nerwork

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Official inference repo for FLUX.1 models

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Residual Quantization with Implicit Neural Codebooks

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

Notes about the video on the Variational Autoencoder

[ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert

Fast Differentiable Sorting and Ranking

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

A simple implementation of Generative Adversarial Imitation Learning with PyTorch

starter from "How to Train a GAN?" at NIPS2016