All Projects → init27 → RTX-2080Ti-Vs-GTX-1080Ti-CIFAR-100-Benchmarks

init27 / RTX-2080Ti-Vs-GTX-1080Ti-CIFAR-100-Benchmarks

Licence: other
No description or website provided.

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to RTX-2080Ti-Vs-GTX-1080Ti-CIFAR-100-Benchmarks

RTX-Mesh-Shaders
Different mesh shading techniques using the NVIDIA RTX (Turing) technology.
Stars: ✭ 84 (+425%)
Mutual labels:  nvidia, rtx
rtx-voice-script
A python script that takes an input MP3/FLAC and outputs an acapella/background noise stripped WAV using the power of NVIDIA's RTX Voice
Stars: ✭ 50 (+212.5%)
Mutual labels:  nvidia, rtx
awesome-rtx
Curated collection of projects leveraging NVIDIA RTX technology (OptiX, DXR, VKR)
Stars: ✭ 73 (+356.25%)
Mutual labels:  nvidia, rtx
rnn darts fastai
Implement Differentiable Architecture Search (DARTS) for RNN with fastai
Stars: ✭ 21 (+31.25%)
Mutual labels:  fastai
dvc-bench
Benchmarks for DVC
Stars: ✭ 17 (+6.25%)
Mutual labels:  benchmarks
gpufetch
Simple yet fancy GPU architecture fetching tool
Stars: ✭ 66 (+312.5%)
Mutual labels:  nvidia
hashcatbenchmark
Benchmark in Hashcat for diferents GPU's
Stars: ✭ 19 (+18.75%)
Mutual labels:  nvidia
Nvidia-Intel
Setup Nvidia & Intel services
Stars: ✭ 21 (+31.25%)
Mutual labels:  nvidia
MinerLamp
Qt GUI for ethminer
Stars: ✭ 40 (+150%)
Mutual labels:  nvidia
play with tensorrt
Sample projects for TensorRT in C++
Stars: ✭ 39 (+143.75%)
Mutual labels:  nvidia
scikit-learn bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
Stars: ✭ 71 (+343.75%)
Mutual labels:  benchmarks
pdb-benchmarks
Benchmarking common tasks on proteins in various languages and packages
Stars: ✭ 33 (+106.25%)
Mutual labels:  benchmarks
vdpau-va-driver-vp9
Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
Stars: ✭ 68 (+325%)
Mutual labels:  nvidia
NIPS-Global-Paper-Implementation-Challenge
Selective Classification For Deep Neural Networks.
Stars: ✭ 11 (-31.25%)
Mutual labels:  cifar-100
fastai-docker-deploy
Deploy fastai models with Docker
Stars: ✭ 19 (+18.75%)
Mutual labels:  fastai
Music-Genre-Classification
Genre Classification using Convolutional Neural Networks
Stars: ✭ 27 (+68.75%)
Mutual labels:  fastai
aws-virtual-gpu-device-plugin
AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
Stars: ✭ 115 (+618.75%)
Mutual labels:  nvidia
darknet
Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux
Stars: ✭ 160 (+900%)
Mutual labels:  nvidia
GapFlyt
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
Stars: ✭ 30 (+87.5%)
Mutual labels:  nvidia
Nabla
OpenGL/OpenGL ES/Vulkan/CUDA/OptiX Modular Rendering Framework for PC/Linux/Android
Stars: ✭ 235 (+1368.75%)
Mutual labels:  rtx

RTX-2080Ti-Vs-GTX-1080Ti-CIFAR-100-Benchmarks

Scripts for the accompanying blogpost

For more details, please checkout the blogpost above.

For details on fast.ai and the latest MOOC (2019), please checkout course.fast.ai

Special Thanks

Special Thanks to Tuatini Godard for helping me run the tests on his 1080Ti

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].