InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
Conversion to/from half-precision floating point formats
Deploy stable diffusion model with onnx/tenorrt + tritonserver
Stage 3 IEEE 754 half-precision floating-point ponyfill
👀 Apply YOLOv8 exported with ONNX or TensorRT(FP16, INT8) to the Real-time camera
Round matrix elements to lower precision in MATLAB
CPP20 implementation of a 16-bit floating-point type mimicking most of the IEEE 754 behavior. Single file and header-only.
Pytorch implementation of DreamerV2: Mastering Atari with Discrete World Models, based on the original implementation
Optimised Caffe with OpenCL supporting for less powerful devices such as mobile phones
Let's train CIFAR 10 Pytorch with Half-Precision!
Export pytorch model to ONNX and convert ONNX from float32 to float 16
IEEE 754-style floating-point converter
A flexible utility for converting tensor precision in PyTorch models and safetensors files, enabling efficient deployment across various platforms.
Converts a floating-point number or hexadecimal representation of a floating-point numbers into various formats and displays them into binary/hexadecimal.
apextrainer is an open source toolbox for fp16 trainer based on Detectron2 and Apex
Transformer implementation in pytorch trained on NVIDIA A100 in fp16
Simple Example of Pytorch -> TensorRT and Inference
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