- Can I use an old gpu to increase total VRAM for deep learning models. https://developer.nvidia.com/cuda-gpus 7 comments deeplearning
- Can i use a PALIT RTX 2060 to enable CUDA rendering? https://developer.nvidia.com/cuda-gpus#compute 9 comments blender
- GTX 1050 Arch Linux CUDA Confusion https://developer.nvidia.com/cuda-gpus#compute 5 comments linuxhardware
Linking pages
- Install TensorFlow with pip https://www.tensorflow.org/install/pip#system-install 176 comments
- leblancfg.com – Notes on installing CUDA, CuDNN and Tensorflow on Manjaro https://leblancfg.com/installing-cuda-cudnn-tensorflow-nvidia-gtx960.html 41 comments
- tensorflow/RELEASE.md at master · tensorflow/tensorflow · GitHub https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md 37 comments
- GitHub - NX-AI/xlstm: Official repository of the xLSTM. https://github.com/NX-AI/xlstm 28 comments
- Install TensorFlow with pip https://www.tensorflow.org/install/install_windows 25 comments
- Install TensorFlow with pip https://www.tensorflow.org/install/gpu 22 comments
- Hardware for Deep Learning. Part 3: GPU | by Grigory Sapunov | Intento https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-8906c1644664 13 comments
- GitHub - hpcaitech/ColossalAI: Making large AI models cheaper, faster and more accessible https://github.com/hpcaitech/ColossalAI 9 comments
- GitHub - Mariewelt/OpenChem: OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research https://github.com/Mariewelt/OpenChem 9 comments
- Building custom-trained object detection models in Python | by Alan Bi | Towards Data Science https://towardsdatascience.com/build-a-custom-trained-object-detection-model-with-5-lines-of-code-713ba7f6c0fb?amp%3Bsk=f05f876152415697c22871b8a3147545&source=email-a296c1c717c-1581908832361-layercake.autolayercakewriternotification-------------------------a419a53b_7004_4443_ba9e_539494fc0ee8 8 comments
- GPGPU Java Programming - Java Code Geeks - 2023 http://www.javacodegeeks.com/2011/09/gpgpu-java-programming.html 7 comments
- Five years of Rust - a cross-platform programming language for the next decade(s) | Blog | Guillaume Endignoux https://gendignoux.com/blog/2020/06/16/rust-5-years-cross-platform.html 6 comments
- machinelearning/tensorflow-usage.md at main · dotnet/machinelearning · GitHub https://github.com/dotnet/machinelearning/blob/master/docs/api-reference/tensorflow-usage.md 5 comments
- GitHub - arekpaterek/Faster_SGEMM_CUDA: FP32 matrix multiplication of large square matrices in some cases faster than cuBLAS. https://github.com/arekpaterek/Faster_SGEMM_CUDA 5 comments
- GitHub - kusterlab/prosit: Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7 https://github.com/kusterlab/prosit 4 comments
- GitHub - rnd-team-dev/plotoptix: Data visualisation and ray tracing in Python based on OptiX 7.7 framework. https://github.com/rnd-team-dev/plotoptix 4 comments
- faceswap/INSTALL.md at master · deepfakes/faceswap · GitHub https://github.com/deepfakes/faceswap/blob/master/INSTALL.md 4 comments
- How to keep your art out of AI generators - The Verge https://www.theverge.com/24063327/ai-art-protect-images-copyright-generators 3 comments
- Start Locally | PyTorch https://pytorch.org/get-started/locally/ 3 comments
- Version 525.147.05(Linux)/529.19(Windows) :: NVIDIA Data Center GPU Driver Documentation https://docs.nvidia.com/datacenter/tesla/tesla-release-notes-525-147-05/index.html 2 comments
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