Projects with this topic
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A self-hosted AI platform — inference, tool use, browser automation, image generation, speech synthesis, transcription, object storage, agentic code execution, and more — behind a single OpenAI-compatible endpoint. One docker-compose up.
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Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
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Docker container, inference pipeline, and submission tooling for deploying trained YOLOv3 object detection models in the xView satellite imagery challenge.
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YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView detection challenge.
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Fast Bayesian authorship attribution software based on Poisson-Dirichlet processes.
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Intelligent VRAM/RAM swapping for LLM inference - Extension of KVortex | Offloading intelligent VRAM/RAM pour l'inference
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Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)
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Extreme KV Cache Compression for LLM Inference — C++17/CUDA implementation of TurboQuant (arXiv 2504.19874). 7.5x compression, <2% quality loss.
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Evaluation of Fast, Faster and Mask R-CNN regarding their inference times
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