Adaptive Affinity Fields for Semantic Segmentation
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Updated
Sep 20, 2018 - Python
Adaptive Affinity Fields for Semantic Segmentation
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
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
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.
Install Affinity Designer 2.6.0 for Windows to create professional vector graphics and illustrations with this desktop design software.
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.
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