This toolbox aims to unify audio generation model evaluation for easier comparison.

A curated list of Video to Audio Generation

Explore Frieren-V2A models

[NeurIPS'24 D&B] The iNaturalist Sounds Dataset for fine-grained species classification

This repo hosts the code and models of "Masked Autoencoders that Listen".

Single Image Haze Removal Using Dark Channel Prior

improves over nerf in 360 capture of unbounded scenes

A PyTorch re-implementation of Neural Radiance Fields

how to use wandb

List of AI Residency Programs

整理 pytorch 单机多 GPU 训练方法与原理

DehazeZoo for collecting dehazing methods, datasets, and codes.

The simulations packages required to replicate our experiements

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

My solutions to UC Berkeley's CS285: Deep Reinforcement Learning 2021

Collection of reinforcement learning algorithms

PyTorch Tutorial for Deep Learning Researchers

Gazebo/ROS packages for underwater robotics simulation

The code required to train our models as in our CoRL paper

The ROS code required to run our version of Dreamer in simulation and on real robots. (Does not include the simulation)

edition 2 of the slambook

This course is a deep dive into details of neural-network based deep learning methods for computer vision. It is offered by the University of Michigan, Ann Arbor (EECS 598).

A quickstart and benchmark for pytorch distributed training.

multi-agent deep reinforcement learning for networked system control.

A curated list of awesome dehazing papers