Deep Learning Docker Image
MIT License
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Provide Docker build sequences of Open3D for various environments.
使用yolov8、fast-reid、deepsort完成目标跟踪
RealSense execution environment built on a Docker container on Ubuntu 20.04. NIVIDA GPU and OpenG...
A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
Object detection for video surveillance
Provides an environment for compiling TensorFlow or PyTorch with CUDA for aarch64 on an x86 machi...
Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA
SDK for GPU accelerated genome assembly and analysis
Fast, reproducible, and portable software development environments
Provide Docker build sequences of PyTorch for various environments.
Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlo...
Ubuntu PyTorch CUDA Docker image with KDE Plasma Desktop & VNC. Ideal for LLM & Deep Learning rem...
An architecture for LLMs' continual-learning and long-term memories
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...