Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
-
Updated
May 23, 2022 - Python
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
Adaptive Affinity Fields for Semantic Segmentation
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite
MassFace: an effecient implementation using triplet loss for face recognition
TensorFlow 2 implementation of CycleGAN with multi-GPU training.
TensorFlow benchmark scripts for single and multi nodes with multi GPUs
C++ LLM inference runtime built from scratch, with CPU and Vulkan backends, GGUF support, and multi-GPU serving.
A demo application of deep learning framework based on OpenCL for multi-GPUs
NVIDIA GPU validation: PCIe transport, Unified Memory prefetch, SGEMM compute, drift detection.
my implementation of seq2seq model using Tensorflow
Lightweight single-node multi-GPU experiment scheduler for Python ML research.
Explore 36 interactive math experiments with shapes, fractals, and geometryβplay free at wonderlattice.com.
Lightweight terminal launcher and auto-optimizer for llm models using llama.cpp with hardware detection, tensor sharding, benchmarks, presets, context tuning, and OpenAI-compatible serving.
Manage RAW image files and edit photos on macOS using Affinity Photo 2.6.4 tools.
To associate your repository with the multi-gpus topic, visit your repo's landing page and select "manage topics."