GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
An open source library for face detection in images. The face detection speed can reach 1000FPS.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Dataflow compiler for QNN inference on FPGAs
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Project Delphi-OpenCV. Translation of OpenCV library header files in Delphi
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
DCompute: Native execution of D on GPUs and other Accelerators
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Profile your Tensorflow Lite model on-device