eTuDpy's repositories
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
pytorchTutorial
PyTorch Tutorials from my YouTube channel
abcpy
ABCpy package
uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
RAdam
On the Variance of the Adaptive Learning Rate and Beyond
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ML_Notebooks
A repository for public Machine Learning notebooks I have created
uncertainty-metrics
Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.
IT8951
Waveshare's 6inch E-ink display used as a picture frame for short films.
Storm-The-House-Auto-Clicker
Lets click the shit out of storm the house
rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
maf
Masked Autoregressive Flow
phuzzy
Fuzzy Python
epaper_frame
Project for code to run on my 7.5inch waveshare frame
numpy-stl
Simple library to make working with STL files (and 3D objects in general) fast and easy.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
rrcf
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
vprof
Visual profiler for Python
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
python-nubia
A command-line and interactive shell framework.
ppo-pytorch
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
keras
Deep Learning for humans
numba
NumPy aware dynamic Python compiler using LLVM
awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
nevergrad
A Python toolbox for performing gradient-free optimization