Python wrappers for the NVIDIA cuDNN libraries
MIT License
Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. S...
Easy benchmarking of all publicly accessible implementations of convnets
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...
NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera ...
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Spatial Sparse Convolution Library
cuDF - GPU DataFrame Library
New operators for the ReferenceEvaluator, new kernels for onnxruntime, CPU, CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer...
📚 PyTorch知识点积累