merowech's Stars
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
pytorch/captum
Model interpretability and understanding for PyTorch
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
microsoft/DialoGPT
Large-scale pretraining for dialogue
louisfb01/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
johannfaouzi/pyts
A Python package for time series classification
mjhea0/awesome-flask
A curated list of awesome things related to Flask
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
wishihab/Android-RATList
Android - Remote Access Trojan List
mihail911/nlp-library
curated collection of papers for the nlp practitioner 📖👩🔬
keunwoochoi/kapre
kapre: Keras Audio Preprocessors
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
marcoancona/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
anguyen8/XAI-papers
googlecreativelab/aiexperiments-bird-sounds
Thousands of bird sounds visualized using machine learning.
facebookresearch/TorchRay
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
drewwilimitis/Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Francis-Hsu/TeXstudio_Solarized
Solarized theme for TeXstudio
eclique/RISE
Detect model's attention
kundajelab/tfmodisco
TF MOtif Discovery from Importance SCOres
for-ai/CipherGAN
TensorFlow implementation of CipherGAN
guicho271828/latplan
LatPlan : A domain-independent, image-based classical planner
kandluis/crime-prediction
CS281 Final Project to develop a new ML Model for predicting incidents of crime.
dais-ita/interpretability-papers
Papers on interpretable deep learning, for review
abarthakur/trepan_python
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
ConfusionFlow/confusionflow
ConfusionFlow is a visualization tool that enables more nuanced monitoring of a neural network's training process.