Stars
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
A library to inspect and extract intermediate layers of PyTorch models.
An unofficial TU/e theme for the reveal.js presentation framework.
My own solutions to Structure and Interpretation of Computer Programs (SICP) exercises in different programming languages.
The code in this repository follows the paper "Stochastic gradient MCMC"
Rosenbrock distribution, includeding unnormalized density and analytic sampler
BoGraph: Structured Bayesian Optimization framework with automated structure discovery from data
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
System design patterns for machine learning
davified / clean-code-ml
Forked from zedr/clean-code-python🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Pytorch implementation of Neural Processes for functions and images 🎆
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A Python package for building Bayesian models with TensorFlow or PyTorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Gemini is a modern LaTex beamerposter theme 🖼
Paper list of multi-agent reinforcement learning (MARL)
Graph Neural Network Library for PyTorch