A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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Jul 6, 2026 - Python
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gpu-programming
Here are 74 public repositories matching this topic...
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
python cpu profiler gpu performance-analysis memory-allocation profiling cpu-profiling memory-consumption gpu-programming python-profilers scalene profiles-memory performance-cpu
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Jul 5, 2026 - Python
Computations and statistics on manifolds with geometric structures.
machine-learning statistics deep-learning geometry neural-networks manifold lie-groups geodesic gpu-programming riemannian-geometry
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Jun 30, 2026 - Python
Nabla: High-Performance Scientific Computing
python machine-learning mojo amd pytorch autograd nvidia scientific-computing tensor autodiff gpu-programming jax apple-silicon
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Mar 6, 2026 - Python
Implementation of a Transformer, but completely in Triton
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Apr 5, 2022 - Python
An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode, paper: https://arxiv.org/abs/2606.09682
machine-learning gpu cuda gpu-programming kernel-fusion mlsys llm-inference agent-harness megakernel
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Jun 29, 2026 - Python
Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.
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Jul 15, 2023 - Python
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
python data-mining gpu gcc transaction cuda plot transactions gpu-acceleration apriori frequent-itemset-mining data-mining-algorithms frequent-pattern-mining apriori-algorithm frequent-itemsets pycuda gpu-programming eclat eclat-algorithm
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Dec 12, 2018 - Python
Boilerplate for GPU-Accelerated TensorFlow and PyTorch code on M1 Macbook
python tensorflow gpu python3 pytorch gpu-acceleration gpu-computing m1 gpu-programming tensorflow2 m1-mac
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May 27, 2022 - Python
An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.
agent skills gpu nvidia-gpu gpu-programming amd-gpu agentic-workflow self-improving-agent gpu-kernel autoresearch kernel-generation
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Jul 10, 2026 - Python
🌟 Compiler for vertex-centric programming of GNNs/TGNNs
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Nov 12, 2024 - Python
Batched GPU augmentations for 3D medical images, replacing MONAI's per-sample transforms with fused Triton kernels
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Jun 11, 2026 - Python
pyCUDA implementation of forward propagation for Convolutional Neural Networks
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Jan 4, 2019 - Python
Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.
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Mar 18, 2026 - Python
bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码
python rust cpp gpu cuda cublas nvidia cudnn nvcc cupy parallel-programming gpu-programming cuda-programming
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Mar 18, 2024 - Python
Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
tutorial cuda pytorch triton educational attention-mechanism gpu-programming forward-pass flash-attention kernel-optimization online-softmax
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May 25, 2026 - Python
vgg16 inference implementation using tensorflow, numpy and pycuda
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Jun 17, 2022 - Python
A helper package to easily time Numba CUDA GPU events ⌛
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Sep 25, 2020 - Python
This repository contains all the lecture slides, homeworks, Mid Terms, and the final project of the Computing Systems Architectures course by Prof. Azeez Bhavnagarwala, in Fall 2025 at NYU.
cpu memory gpu sram memory-management memory-allocation gpu-computing instruction-set-architecture risc-v instruction-set cpu-scheduling-algorithms riscv32 gpu-programming sram-memories computing-systems-architectures
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Jan 13, 2026 - Python
A package to run commands when GPU resources are available
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Dec 27, 2024 - Python
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