iamwilliamli's Stars
NVlabs/DQTrack
Official PyTorch implementation of End-to-end 3D Tracking with Decoupled Queries [ICCV 2023]
MrNeRF/awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
hustvl/4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
NVlabs/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
NVlabs/BundleSDF
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
chenhsuanlin/bundle-adjusting-NeRF
BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
dreamgaussian/dreamgaussian
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
mf-zhang/Structural-MPI
(CVPR2023) Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
juicedata/juicefs
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
TRI-ML/PF-Track
Implementation of PF-Track
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
Jiawei-Yang/FreeNeRF
[CVPR23] FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
4TWIGGERS/React-Native-Reflective-UI
PJLab-ADG/DetZero
[ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
facebookresearch/personal-timeline
A public release of TimelineBuilder for building personal digital data timelines.
One-2-3-45/One-2-3-45
[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
vahidk/tfrecord
Standalone TFRecord reader/writer with PyTorch data loaders
meta-llama/codellama
Inference code for CodeLlama models
yashbhalgat/Contrastive-Lift
[NeurIPS 2023 Spotlight] Code for "Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion"
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
K3D-tools/K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
zhuoxiao-chen/ReDB-DA-3Ddet
[ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
JonasSchult/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
vitessio/vitess
Vitess is a database clustering system for horizontal scaling of MySQL.
impiga/Plain-DETR
[ICCV2023] DETR Doesn’t Need Multi-Scale or Locality Design
SforAiDl/KD_Lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.