The taichi-dev organization on GitHub showcases a diverse array of repositories focused on GPU programming and physical simulations. With primary languages including Python, C++, and Rust, notable projects such as taichi and difftaichi contribute significantly to the community's development in differentiable programming and advanced physics engines.
Top languages
Public repositories
taichi
Productive, portable, and performant GPU programming in Python.
difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
taichi-nerfs
Implementations of NeRF variants based on Taichi + PyTorch
awesome-taichi
A curated list of awesome Taichi applications, courses, demos and features.
games201
Advanced Physics Engines 2020: A Hands-on Tutorial
taichi_elements
High-performance multi-material continuum physics engine in Taichi
meshtaichi
MeshTaichi: A Compiler for Efficient Mesh-based Operations (SIGGRAPH Asia 2022)
voxel-challenge
No description provided for this repository.
taichi_three
A soft renderer based on Taichi (work in progress)
taichi_blend
Taichi Blender intergration for physics simulation and animation
quantaichi
QuanTaichi evaluation suite
taichi-docs-zh-cn
Taichi中文文档
taichi_houdini
No description provided for this repository.
faster-python-with-taichi
No description provided for this repository.
taichi-aot-demo
A demo illustrating how to use Taichi as an AOT shader compiler
taichicon
TaichiCon: Taichi Conferences
taichi_glsl
A Taichi extension library providing a set of GLSL-alike helper functions
soft2d-for-unity
Soft2D-for-Unity
taichi.js
Run compiled Taichi kernels in JavaScript and WASM
Taichi-UnityExample
No description provided for this repository.
image-processing-with-taichi
No description provided for this repository.
cpp-training-season1
C++ training, season 1
soft2d-release
Soft2D: A 2D multi-material continuum physics engine designed for real-time applications.
taichi_benchmark
No description provided for this repository.
taichi_dem
A minimal DEM simulation demo written in Taichi.
cheatsheet
No description provided for this repository.
docs.taichi.graphics
Home of the Taichi documentation site.
taichi-unity2
No description provided for this repository.
cloth-simulation-homework
No description provided for this repository.
mls_mpm_88_extensions
No description provided for this repository.
advanced_examples
More advanced Taichi examples
community
No description provided for this repository.
poisson-sampling-homework
No description provided for this repository.
meshy_open_data
No description provided for this repository.
sourceinspect
A unified inspector for retriving source from Python objects
stock_trading_strategy
Optimal stock trading strategy using Taichi
mpm_3d_exercise
No description provided for this repository.
public_files
No description provided for this repository.
taichi_elements_blender_examples
No description provided for this repository.
dummy-rdp-client
Keep a live session by RDP, so OpenGL can function.
test_actions
No description provided for this repository.
docstring-gen
Workflow for generating the docstring website
gsplat
CUDA accelerated rasterization of gaussian splatting
glfw
A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input
Trinity
Programmable 3D fluid simulator running in WebGL.
taichi_assets
Taichi binary assets (submodule of the main Taichi repository)
voxel-rt2
Voxel Ray Tracer v2 (supersedes https://github.com/taichi-dev/voxel_editor)
blogs
No description provided for this repository.
taichi-release-tests
No description provided for this repository.
vhost-user-wireguard
Userspace WireGuard vhost-user-net daemon for KVM/QEMU/Cloud-Hypervisor
motion
Open source, production-ready animation and gesture library for React (Forked)
tailscale
The easiest, most secure way to use WireGuard and 2FA.
rke2-aws-tf
No description provided for this repository.
taichi-aot-demo-1
A demo illustrating how to use Taichi as an AOT shader compiler
discourse-radiant-theme
No description provided for this repository.
valijson
Header-only C++ library for JSON Schema validation, with support for many popular parsers
hackathons
Taichi ❤️ Hackathons
taichi-zoo-issue-tracker
This repository is used for collecting user feedback from the community
vmon
No description provided for this repository.
slurm-bridge
Run Slurm as a Kubernetes scheduler. A Slinky project.
sssd
A daemon to manage identity, authentication and authorization for centrally-managed systems.
slurm
Slurm: A Highly Scalable Workload Manager
docs
No description provided for this repository.
i18n-ally
🌍 All in one i18n extension for VS Code
taichi_glad_ready
Ready to use GLAD as a OpenGL API loader
torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
rhino3dm
Libraries based on OpenNURBS with a RhinoCommon style
git_cdn
No description provided for this repository.
taichi_elements-1
High-performance multi-material continuum physics engine in Taichi
taichi_c_api_null_impl
Build Taichi Runtime C-API library that does nothing.
pytest-xdist
pytest plugin for distributed testing and loop-on-failures testing modes.
stunner-helm
STUNner Helm charts
notebooks
No description provided for this repository.
Frequently asked questions
What does taichi-dev build on GitHub?
Taichi-dev develops a variety of projects, primarily related to GPU programming and physical simulations. Their notable repositories include taichi, which enables productive GPU programming in Python, and difftaichi, focused on differentiable physical simulations.
Which programming languages does taichi-dev use?
The taichi-dev organization utilizes several programming languages in their projects, including Python, C++, C#, Rust, C, and Go. This variety supports their focus on developing advanced computational tools and simulations.
Are taichi-dev's repositories public?
Yes, all of taichi-dev's repositories are public on GitHub. This openness allows developers and researchers to explore, contribute to, and utilize the various projects, fostering collaboration and innovation in the field.
Is this exposure intended?
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