Skip to content
View pxl-th's full-sized avatar
74 followers · 34 following

Organizations

@JuliaGPU @FluxML @Stability-AI @JuliaNeuralGraphics

Block or report pxl-th

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. JuliaNeuralGraphics/GaussianSplatting.jl Public

    Gaussian Splatting in pure Julia

    Julia 42 3

  2. JuliaNeuralGraphics/Nerf.jl Public

    Julia 110 3

  3. JuliaGPU/AMDGPU.jl Public

    AMD GPU (ROCm) programming in Julia

    Julia 298 57

  4. JuliaNeuralGraphics/NerfGUI.jl Public

    Julia 30 3

  5. SLAM.jl Public

    Visual Simultaneous Localization and Mapping

    Julia 24 4

  6. Trace.jl Public

    Physically-based ray tracing on CPU

    Julia 30 5

807 contributions in the last year

Contribution Graph
Day of Week April May June July August September October November December January February March April
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Learn how we count contributions
Less
No contributions.
Low contributions.
Medium-low contributions.
Medium-high contributions.
High contributions.
More

Activity overview

Contributed to JuliaGPU/AMDGPU.jl, JuliaNeuralGraphics/GaussianSplatting.jl, pxl-th/NNop.jl and 34 other repositories
Loading A graph representing pxl-th's contributions from April 21, 2024 to April 21, 2025. The contributions are 70% commits, 22% pull requests, 6% code review, 2% issues. 6% Code review 2% Issues 22% Pull requests 70% Commits

Contribution activity

April 2025

Created 1 commit in 1 repository
Opened 1 pull request in 1 repository
pxl-th/NNop.jl 1 merged

Created an issue in JuliaGPU/GPUCompiler.jl that received 4 comments

Julia 1.12 LLVM error: Instruction Combining did not reach a fixpoint after 1 iterations

MWE: using CUDA function cos_kernel!(y, x) idx = (blockIdx().x - 1) * blockDim().x + threadIdx().x if idx <= length(x) y[idx] = cos(x[idx]) end return

4 comments
17 contributions in private repositories Apr 1 – Apr 21
Loading