AllenAkhaumere's Stars
mindsdb/mindsdb
The platform for building AI from enterprise data
roguextech/mvernacc-aerospike-nozzle-design-gui
Graphical software for designing aerospike rocket nozzles
roguextech/AEsirkth-ground-control
All required software to make the Ground Station work
roguextech/Launcher-Calculator
An open source orbital launch vehicle (rocket) payload calculator by Launcher
roguextech/istellartech-OpenTsiolkovsky
Rocket Flight Simulator
roguextech/UBC-Rocket-Whistler-Blackcomb-v2
Flight computer firmware for Whistler Blackcomb rocket for Base 11 Space Challenge.
roguextech/jsbsim
An open source flight dynamics & control software library
roguextech/Converse-Engine
Electric Pump Feed Cycle Based Liquid Rocket Engine with propellant Ethanol (CH) and Liquid Oxygen (LOX)
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
deep-learning-with-pytorch/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
AllenAkhaumere/DeepProtein
Using deep learning to uncover the complex structure of protein.
AllenAkhaumere/weka
weka mirror with git — http://www.cs.waikato.ac.nz/ml/weka/
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
pytorch/captum
Model interpretability and understanding for PyTorch
OATML/bdl-benchmarks
Bayesian Deep Learning Benchmarks
mvernacc/pyralis
MIT Rocket Team - Pyralis engine design and control code
cmflannery/openrocketengine
openrocketengine is an opensource program used to iterate liquid engine design
rocketproplab/Guides
General body of knowledge for Rocket Propulsion Laboratory.
rocketproplab/C.A.M.E.R.O.N.-CAD
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
facebookresearch/FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
shap/shap
A game theoretic approach to explain the output of any machine learning model.
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
zizhaozhang/nmi-wsi-diagnosis
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
titu1994/Keras-NASNet
"NASNet" models in Keras 2.0+ with weights
ORC-1/ibolang
programming language in Igbo
bioinform/neusomatic
NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection
google/nucleus
Python and C++ code for reading and writing genomics data.
pachterlab/kallisto
Near-optimal RNA-Seq quantification