jarvisloh

jarvisloh

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awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

License:MITStargazers:1Issues:0Issues:0

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Language:PythonLicense:BSD-3-ClauseStargazers:1Issues:0Issues:0

causallib

A Python package for modular causal inference analysis and model evaluations

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

causalml

Uplift modeling and causal inference with machine learning algorithms

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alibi

Algorithms for explaining machine learning models

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awesome-alfred-workflows

A curated list of awesome alfred workflows

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awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

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Awesome-Incremental-Learning

Awesome Incremental Learning

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awesome-molecular-generation

Awesome papers related to generative molecular modeling and design.

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awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

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awesome-normalizing-flows

A list of awesome resources on normalizing flows.

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Awesome-Weak-Supervision

A curated list of programmatic weak supervision papers and resources

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blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

License:GPL-3.0Stargazers:0Issues:0Issues:0

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

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FrEIA

Framework for Easily Invertible Architectures

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GflowNets_Tutorial

GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling

License:GPL-3.0Stargazers:0Issues:0Issues:0

grafog

Graph Data Augmentation Library for PyTorch Geometric

License:MITStargazers:0Issues:0Issues:0

gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

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mldocs

Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs

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rdkit

The official sources for the RDKit library

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resources

PyMC3 educational resources

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torch-two-sample

A PyTorch library for two-sample tests

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

License:LGPL-3.0Stargazers:0Issues:0Issues:0

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

License:MITStargazers:0Issues:0Issues:0

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

License:MITStargazers:0Issues:0Issues:0

zoofs

zoofs is a Python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

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