Pinned Repositories
PrefixMol
The official implementation of the paper "PrefixMol: Target-and Chemistry-aware Molecule Design via Prefix Embedding".
ALEEEHU
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome-Text2X-Resources
This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Deformable-3D-Gaussians
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
DrawingSpinUp
(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
dreamgaussian
Generative Gaussian Splatting for Efficient 3D Content Creation
dreamgaussian4d
[arXiv 2023] DreamGaussian4D: Generative 4D Gaussian Splatting
ALEEEHU's Repositories
ALEEEHU/Awesome-Text2X-Resources
This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
ALEEEHU/ALEEEHU
ALEEEHU/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
ALEEEHU/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
ALEEEHU/Deformable-3D-Gaussians
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
ALEEEHU/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
ALEEEHU/DrawingSpinUp
(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
ALEEEHU/dreamgaussian
Generative Gaussian Splatting for Efficient 3D Content Creation
ALEEEHU/dreamgaussian4d
[arXiv 2023] DreamGaussian4D: Generative 4D Gaussian Splatting
ALEEEHU/dreamscene4d
[NeurIPS 2024] DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
ALEEEHU/EventNeRF
Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]
ALEEEHU/GeoWizard
[arXiv'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
ALEEEHU/HumanGaussian
Github Repo for "HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting"
ALEEEHU/MiDi
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
ALEEEHU/neural_renderer
A PyTorch port of the Neural 3D Mesh Renderer
ALEEEHU/Event3DGS
ALEEEHU/feature-splatting-inria
Feature splatting based on INRIA GS rasterizer
ALEEEHU/gns
Graph Network Simulator
ALEEEHU/PhysDreamer
Code for PhysDreamer
ALEEEHU/PhysGaussian
[CVPR 2024] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
ALEEEHU/PointVisualizaiton
A point cloud visualization repo
ALEEEHU/PSF
Official Implementation for Fast Point Cloud Generation with Straight Flows
ALEEEHU/PyTorch-Learning-Code
mainly focus on sharing the learning code using PyTorch
ALEEEHU/RLexample
Some basic examples of playing with RL
ALEEEHU/SplaTAM
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
ALEEEHU/TextRL
Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)
ALEEEHU/transformers_tasks
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF etc.
ALEEEHU/trl
Train transformer language models with reinforcement learning.
ALEEEHU/VideoMV
VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model
ALEEEHU/Wonder3D
A cross-domain diffusion model for 3D reconstruction from a single image