mandli / Intro Numerical Methods
Licence: cc-by-4.0
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
Stars: ✭ 210
Labels
Projects that are alternatives of or similar to Intro Numerical Methods
Dexplot
Simple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
3d Mri Brain Tumor Segmentation Using Autoencoder Regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Stars: ✭ 209 (-0.48%)
Mutual labels: jupyter-notebook
Monthofjulia
Some code examples gathered during my Month of Julia.
Stars: ✭ 209 (-0.48%)
Mutual labels: jupyter-notebook
Hardware introduction
What scientific programmers must know about CPUs and RAM to write fast code.
Stars: ✭ 209 (-0.48%)
Mutual labels: jupyter-notebook
Neural differential equations
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Stars: ✭ 207 (-1.43%)
Mutual labels: jupyter-notebook
Knowledge Graph Analysis Programming Exercises
Exercises for the Analysis of Knowledge Graphs
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
Dlsys Course.github.io
Deep learning system course
Stars: ✭ 207 (-1.43%)
Mutual labels: jupyter-notebook
Python Bootcamp
Python Bootcamp docs and lectures (UC Berkeley)
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
Visualsearch mxnet
Visual Search using Apache MXNet and gluon
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
Graph Convolution Nlp
Graph Convolution Network for NLP
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
Keypoints Of Humanpose With Mask R Cnn
Use the Mask RCNN for the human pose estimation
Stars: ✭ 209 (-0.48%)
Mutual labels: jupyter-notebook
Cartoframes
CARTO Python package for data scientists
Stars: ✭ 208 (-0.95%)
Mutual labels: jupyter-notebook
Image manipulation detection
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
Stars: ✭ 210 (+0%)
Mutual labels: jupyter-notebook
Simplified Deeplearning
Simplified implementations of deep learning related works
Stars: ✭ 2,389 (+1037.62%)
Mutual labels: jupyter-notebook
intro-numerical-methods
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
This work is licensed under a Creative Commons Attribution 4.0 International License.
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].