gsilva2016

Pinned Repositories

3dai
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axis2-c
Mirror of Apache Axis2/C
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DevCloudContent-docker-compose
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dlstreamer
This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.
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docker-intel-gpu-telegraf
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i2v-pytorch-models
Inference containers for the Weaviate `img2vec-pytorch` module
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intel-devcloud-demos
Intel DevCloud Media and AI demos
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intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
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intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
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jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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gsilva2016's Repositories

gsilva2016/3dai
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gsilva2016/DevCloudContent-docker-compose
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gsilva2016/dlstreamer
This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.
Language:C++00
gsilva2016/docker-intel-gpu-telegraf
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gsilva2016/i2v-pytorch-models
Inference containers for the Weaviate `img2vec-pytorch` module
Language:Python00
gsilva2016/intel-devcloud-demos
Intel DevCloud Media and AI demos
Language:C++00
gsilva2016/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Language:Python00
gsilva2016/intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Language:Python00
gsilva2016/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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gsilva2016/lms_intel_architecture
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gsilva2016/model_server
A scalable inference server for models optimized with OpenVINO™
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gsilva2016/multi-camera-people-tracking
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
gsilva2016/oneVPL-intel-gpu
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gsilva2016/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
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gsilva2016/opencv_intel_gpu_accel
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gsilva2016/openvino
OpenVINO™ Toolkit repository
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gsilva2016/openvino_yolov5_postprocessing_lib
gsilva2016/ovms_maskrcnn_bit
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gsilva2016/ovms_microservices
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gsilva2016/pipeline-server
Home of Intel(R) Deep Learning Streamer Pipeline Server (formerly Video Analytics Server)
gsilva2016/pp3d
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gsilva2016/sample-videos
Sample videos for running inference
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gsilva2016/sway.kiosk.demo
Containerized demo illustrating two independent displays for video playback as can be useful for Kiosk use cases.
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gsilva2016/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
gsilva2016/Video-LLaVA
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
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gsilva2016/vision-self-checkout
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gsilva2016/vision-selfcheckout-demo24
Vision Self-Checkout CV and LMM Demo
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gsilva2016/weaviate-examples
Weaviate vector database – examples
gsilva2016/weaviate-img2vec-client
Weaviate img2vec client in a Docker container
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gsilva2016/yolov8_efficientnet_demos
Execute a GStreamer media accelerated decode and model ensembled pipeline of Yolov8 and Efficientnet with either OpenVINO Model Server or DLStreamer for inference.
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