ChristophSchmidl's Stars
jesseduffield/lazygit
simple terminal UI for git commands
jesseduffield/lazydocker
The lazier way to manage everything docker
shap/shap
A game theoretic approach to explain the output of any machine learning model.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
theskumar/python-dotenv
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
PaddlePaddle/ERNIE
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
dpgaspar/Flask-AppBuilder
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
gwding/draw_convnet
joeyajames/Python
Python code for YouTube videos.
madisonmay/CommonRegex
A collection of common regular expressions bundled with an easy to use interface.
flask-api/flask-api
Browsable web APIs for Flask.
anishathalye/obfuscated-gradients
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
dipanjanS/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
StartBootstrap/startbootstrap-scrolling-nav
An unstyled Bootstrap HTML template for creating smooth scrolling, one page websites - created by Start Bootstrap
kentonl/e2e-coref
End-to-end Neural Coreference Resolution
snorkel-team/snorkel-tutorials
A collection of tutorials for Snorkel
devkitPro/installer
mlajtos/moniel
Interactive Notation for Computational Graphs
jessicayung/machine-learning-flashcards
Machine learning flashcards
huschen/kaggle_speech_recognition
Conv-LSTM-CTC speech recognition network (end-to-end), written in TensorFlow.
ServiceNow/multithreaded-estimators
Multithreading inference in Tensorflow Estimators. This is a ServiceNow Research project that was started at Element AI.
adrian-botta/understanding_adversarial_examples
A jupyter notebook containing a walkthrough of how gradient based adversarial attacks work in 2 dimensions - Including both a white-box and black-box attack.