mgrankin / Over9000
Licence: apache-2.0
Over9000 optimizer
Stars: ✭ 375
Labels
Projects that are alternatives of or similar to Over9000
Easy Deep Learning With Keras
Keras tutorial for beginners (using TF backend)
Stars: ✭ 367 (-2.13%)
Mutual labels: jupyter-notebook
Covid19pt Data
😷️🇵🇹 Dados relativos à pandemia COVID-19 em Portugal
Stars: ✭ 362 (-3.47%)
Mutual labels: jupyter-notebook
Data Science
Collection of useful data science topics along with code and articles
Stars: ✭ 315 (-16%)
Mutual labels: jupyter-notebook
Integrated Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
Stars: ✭ 365 (-2.67%)
Mutual labels: jupyter-notebook
Fbrs interactive segmentation
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
Stars: ✭ 366 (-2.4%)
Mutual labels: jupyter-notebook
Causal Inference Tutorial
Repository with code and slides for a tutorial on causal inference.
Stars: ✭ 368 (-1.87%)
Mutual labels: jupyter-notebook
Intro programming
A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.
Stars: ✭ 366 (-2.4%)
Mutual labels: jupyter-notebook
Deep Learning
Repo for the Deep Learning Nanodegree Foundations program.
Stars: ✭ 3,782 (+908.53%)
Mutual labels: jupyter-notebook
Handson Unsupervised Learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Stars: ✭ 369 (-1.6%)
Mutual labels: jupyter-notebook
Audionotebooks
Collection of notebooks and scripts related to audio processing and machine learning.
Stars: ✭ 366 (-2.4%)
Mutual labels: jupyter-notebook
D2l Pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Stars: ✭ 3,810 (+916%)
Mutual labels: jupyter-notebook
Python Course
Tutorial and introduction into programming with Python for the humanities and social sciences
Stars: ✭ 370 (-1.33%)
Mutual labels: jupyter-notebook
Carnd Vehicle Detection
Vehicle detection using YOLO in Keras runs at 21FPS
Stars: ✭ 367 (-2.13%)
Mutual labels: jupyter-notebook
Interesting Python
有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)
Stars: ✭ 3,927 (+947.2%)
Mutual labels: jupyter-notebook
Nerf pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Stars: ✭ 362 (-3.47%)
Mutual labels: jupyter-notebook
Tf 2.0 Hacks
Contains my explorations of TensorFlow 2.x
Stars: ✭ 369 (-1.6%)
Mutual labels: jupyter-notebook
Learn Python3
Jupyter notebooks for teaching/learning Python 3
Stars: ✭ 4,418 (+1078.13%)
Mutual labels: jupyter-notebook
Deep Learning Illustrated
Deep Learning Illustrated (2020)
Stars: ✭ 372 (-0.8%)
Mutual labels: jupyter-notebook
Optimizers and tests
Every result is avg of 20 runs.
| Dataset | LR Schedule | Imagenette size 128, 5 epoch | Imagewoof size 128, 5 epoch |
|---|---|---|---|
| Adam - baseline | OneCycle | 0.8493 | 0.6125 |
| RangerLars (RAdam + LARS + Lookahead) | Flat and anneal | 0.8732 | 0.6523 |
| Ralamb (RAdam + LARS) | Flat and anneal | 0.8675 | 0.6367 |
| Ranger (RAdam + Lookahead) | Flat and anneal | 0.8594 | 0.5946 |
| Novograd | Flat and anneal | 0.8711 | 0.6126 |
| Radam | Flat and anneal | 0.8444 | 0.537 |
| Lookahead | OneCycle | 0.8578 | 0.6106 |
| Lamb | OneCycle | 0.8400 | 0.5597 |
| DiffGrad | OneCycle | 0.8527 | 0.5912 |
| AdaMod | OneCycle | 0.8473 | 0.6132 |
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].