Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Simple but useful Python web scraping tutorial code.

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

Reinforcement Learning with Model Predictive Control

Code release for NeRF (Neural Radiance Fields)

This repo contains the resources, projects and documentation of mine while learning Large Language Model

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

Inverse Game Theory for Stackelberg Games

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

simple EM-planner

lattice planner, em planner, ros, carla-simulator,

Multi-agent occlusion inference using observed driver behaviors. A driver sensor model is learned using a conditional variational autoencoder. Information from multiple drivers is fused into an ego…

[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning

🔥 Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Website of TrafficCAM: https://math-ml-x.github.io/TrafficCAM/

Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)

The simplest, fastest repository for training/finetuning medium-sized GPTs.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.

Instruct-tune LLaMA on consumer hardware

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)