jarvisloh's repositories
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
alibi
Algorithms for explaining machine learning models
awesome-alfred-workflows
A curated list of awesome alfred workflows
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
Awesome-Incremental-Learning
Awesome Incremental Learning
awesome-molecular-generation
Awesome papers related to generative molecular modeling and design.
awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
awesome-normalizing-flows
A list of awesome resources on normalizing flows.
Awesome-Weak-Supervision
A curated list of programmatic weak supervision papers and resources
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
FrEIA
Framework for Easily Invertible Architectures
GflowNets_Tutorial
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
grafog
Graph Data Augmentation Library for PyTorch Geometric
gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
mldocs
Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs
rdkit
The official sources for the RDKit library
resources
PyMC3 educational resources
torch-two-sample
A PyTorch library for two-sample tests
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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.