gpu
Here are 3,934 public repositories matching this topic...
Serve, optimize and scale PyTorch models in production
-
Updated
May 9, 2024 - Java
Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
Updated
May 9, 2024 - Python
Open-Source Low-Latency Linux WebRTC HTML5 Remote Desktop and 3D Graphics / Game Streaming Platform with GStreamer
-
Updated
May 9, 2024 - CSS
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
-
Updated
May 9, 2024 - C++
Pytorch domain library for recommendation systems
-
Updated
May 9, 2024 - Python
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
-
Updated
May 9, 2024 - Python
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
-
Updated
May 9, 2024 - Python
On-device AI across mobile, embedded and edge for PyTorch
-
Updated
May 9, 2024 - C++
cuVS - a library for vector search and clustering on the GPU
-
Updated
May 9, 2024 - Jupyter Notebook
GPU/CPU Mining script with intelligent profit-switching between miningpools, algorithms, miners, using all possible combinations of devices (NVIDIA, AMD, CPU). Features: actively maintained, uses the top actual miner programs (Bminer, Ccminer, Claymore, Dstm, EnemyZ, Sgminer, T-rex and more) easy setup wizard, webinterface, auto update.
-
Updated
May 9, 2024 - PowerShell
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
-
Updated
May 9, 2024 - C++
CUDA C++ Core Libraries
-
Updated
May 9, 2024 - C++
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
-
Updated
May 9, 2024 - Python
Improve this page
Add a description, image, and links to the gpu topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gpu topic, visit your repo's landing page and select "manage topics."