Topic: cuda Goto Github
Some thing interesting about cuda
Some thing interesting about cuda
cuda,ArrayFire: a general purpose GPU library.
Organization: arrayfire
Home Page: https://arrayfire.com
cuda,LightSeq: A High Performance Library for Sequence Processing and Generation
Organization: bytedance
cuda,GPU Accelerated t-SNE for CUDA with Python bindings
Organization: cannylab
cuda,A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Organization: catboost
Home Page: https://catboost.ai
cuda,A flexible framework of neural networks for deep learning
Organization: chainer
Home Page: https://chainer.org
cuda,ALIEN is a CUDA-powered artificial life simulation program.
User: chrxh
Home Page: https://alien-project.org
cuda,label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
User: coincheung
cuda,CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Organization: cvcuda
Home Page: https://cvcuda.github.io
cuda,computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
User: enpeizhao
cuda,HeavyDB (formerly OmniSciDB)
Organization: heavyai
Home Page: https://heavy.ai
cuda,Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
Organization: hybridgroup
Home Page: https://gocv.io
cuda,CUDA integration for Python, plus shiny features
User: inducer
Home Page: http://mathema.tician.de/software/pycuda
cuda,A retargetable MLIR-based machine learning compiler and runtime toolkit.
Organization: iree-org
Home Page: http://iree.dev/
cuda,Open3D: A Modern Library for 3D Data Processing
Organization: isl-org
Home Page: http://www.open3d.org
cuda,Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers 👋 Jan
Organization: janhq
Home Page: https://cortex.so
cuda,Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
User: jittor
Home Page: https://cg.cs.tsinghua.edu.cn/jittor/
cuda,kaldi-asr/kaldi is the official location of the Kaldi project.
Organization: kaldi-asr
Home Page: http://kaldi-asr.org
cuda,Modular ZK(Zero Knowledge) backend accelerated by GPU
Organization: kroma-network
cuda,Real-time dense visual SLAM system
User: mp3guy
cuda,Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Organization: nvidia
cuda,CUDA Templates for Linear Algebra Subroutines
Organization: nvidia
cuda,NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Organization: nvidia
cuda,[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
Organization: nvidia
Home Page: https://nvidia.github.io/libcudacxx
cuda,Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Organization: nvidia
Home Page: https://nvidia.github.io/MinkowskiEngine
cuda,Build and run Docker containers leveraging NVIDIA GPUs
Organization: nvidia
cuda,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.
Organization: nvidia
Home Page: https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html
cuda,A PyTorch Library for Accelerating 3D Deep Learning Research
Organization: nvidiagameworks
cuda,Instant neural graphics primitives: lightning fast NeRF and more
Organization: nvlabs
Home Page: https://nvlabs.github.io/instant-ngp
cuda,Lightning fast C++/CUDA neural network framework
Organization: nvlabs
cuda,Tengine is a lite, high performance, modular inference engine for embedded device
Organization: oaid
cuda,OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Organization: oneflow-inc
Home Page: http://www.oneflow.org
cuda,Fast inference engine for Transformer models
Organization: opennmt
Home Page: https://opennmt.net/CTranslate2
cuda,PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Organization: pytorch
Home Page: https://pytorch.org/TensorRT
cuda,Pytorch domain library for recommendation systems
Organization: pytorch
cuda,cuML - RAPIDS Machine Learning Library
Organization: rapidsai
Home Page: https://docs.rapids.ai/api/cuml/stable/
cuda,Containers for machine learning
Organization: replicate
Home Page: https://cog.run
cuda,HIP: C++ Heterogeneous-Compute Interface for Portability
Organization: rocm
Home Page: https://rocmdocs.amd.com/projects/HIP/
cuda,Making it easier to work with shaders
Organization: shader-slang
cuda,A high-throughput and memory-efficient inference and serving engine for LLMs
Organization: vllm-project
Home Page: https://docs.vllm.ai
cuda,An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
User: xuehaipan
Home Page: https://nvitop.readthedocs.io
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