Name | Version | Summary | date |
fbgemm-gpu-nightly |
2024.11.16 |
None |
2024-11-16 14:03:41 |
fbgemm-gpu-nightly-cpu |
2024.11.16 |
None |
2024-11-16 13:32:34 |
fbgemm-gpu-nightly-genai |
2024.11.16 |
None |
2024-11-16 13:22:56 |
avcuda |
0.2.4 |
PyAV extension with hardware encoding/decoding support on Nvidia GPUs. |
2024-11-08 08:30:35 |
cryoCOFI |
1.0.1 |
CarbOn FIlm detector for cryo-EM images |
2024-10-29 03:08:33 |
NQvision |
0.1.2 |
A library to simplify the development of AI-driven object detection and monitoring solutions. |
2024-10-28 18:38:25 |
fbgemm-gpu-genai |
1.0.0 |
None |
2024-10-18 04:17:44 |
fbgemm-gpu |
1.0.0 |
None |
2024-10-18 01:50:22 |
fbgemm-gpu-cpu |
1.0.0 |
None |
2024-10-18 00:43:39 |
tensorrt-yolo |
4.3.1 |
Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds. |
2024-10-14 08:21:19 |
holoscan |
2.5.0 |
The Holoscan SDK: building high-performance AI streaming applications |
2024-10-01 18:41:38 |
gsplat |
1.4.0 |
Python package for differentiable rasterization of gaussians |
2024-09-27 06:55:43 |
pmcx |
0.3.5 |
Python bindings for Monte Carlo eXtreme photon transport simulator |
2024-09-25 16:39:23 |
onnx-extended |
0.3.0 |
Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++. |
2024-09-19 22:23:54 |
pytagi |
0.1.11 |
Tractable Approximate Gaussian Inference |
2024-09-13 12:48:41 |
bitblas |
0.0.1.dev15 |
A light weight framework to generate high performance CUDA/HIP code for BLAS operators. |
2024-08-23 06:43:33 |
gpuinfonv |
0.1.0 |
A Python library for gathering and managing information about NVIDIA GPUs |
2024-08-14 22:39:51 |
cholespy |
2.1.0 |
A self-contained sparse Cholesky solver, compatible with CPU and GPU tensor frameworks. |
2024-08-09 08:35:47 |
astra-kernelkit |
1.0.0a2.post1 |
CuPy-based Projectors for Computed Tomography |
2024-08-08 17:59:45 |
cuda-quantum |
0.8.0 |
Python bindings for the CUDA-Q toolkit for heterogeneous quantum-classical workflows. |
2024-08-06 19:23:48 |