This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.

Code for the paper: "StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation"

Multimodal Referring Segmentation

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

A curated list of publications on image and video segmentation leveraging Multimodal Large Language Models (MLLMs), highlighting state-of-the-art methods, innovative applications, and key advanceme…

Fine-tuned 3B parameters PaliGemma2 vision model on Valorant object detection improving IoU scores across all classes. Project is developed for research experimentation.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Fully open reproduction of DeepSeek-R1

A curated list of SLAM resources

🔥Highlighting the top ML papers every week.

A list of point cloud scene flow papers, codes and datasets.

Pytorch implementation of LSTM for irregular time series

Compendium of free ML reading resources

A curated list of important published computer vision paper on a weekly basis

Master programming by recreating your favorite technologies from scratch.

Ongoing research training transformer models at scale

Unofficial reimplementation of ViR: Vision Retention Networks by Hatamizadeh et. al. (https://arxiv.org/abs/2310.19731)

Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*

Large-scale language modeling tutorials with PyTorch

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Notebooks for Large Language Models (LLMs) Specialization

Practical course about Large Language Models.

Awesome-LLM: a curated list of Large Language Model

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python. A course from Udemy

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.