Pinned Repositories
awesome-bayes
List of resources for bayesian inference
awesome-graph-self-supervised-learning
Awesome Graph Self-Supervised Learning
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
BayesianML
Experiments in Bayesian Machine Learning
causallib
A Python package for modular causal inference analysis and model evaluations
causalml
Uplift modeling and causal inference with machine learning algorithms
GCL
List of Publications in Graph Contrastive Learning
jarvisloh's Repositories
jarvisloh/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
jarvisloh/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
jarvisloh/causallib
A Python package for modular causal inference analysis and model evaluations
jarvisloh/causalml
Uplift modeling and causal inference with machine learning algorithms
jarvisloh/alibi
Algorithms for explaining machine learning models
jarvisloh/awesome-alfred-workflows
A curated list of awesome alfred workflows
jarvisloh/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
jarvisloh/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
jarvisloh/Awesome-Incremental-Learning
Awesome Incremental Learning
jarvisloh/awesome-molecular-generation
Awesome papers related to generative molecular modeling and design.
jarvisloh/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
jarvisloh/awesome-normalizing-flows
A list of awesome resources on normalizing flows.
jarvisloh/Awesome-Weak-Supervision
A curated list of programmatic weak supervision papers and resources
jarvisloh/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
jarvisloh/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
jarvisloh/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
jarvisloh/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
jarvisloh/e3_diffusion_for_molecules
jarvisloh/FrEIA
Framework for Easily Invertible Architectures
jarvisloh/GflowNets_Tutorial
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
jarvisloh/grafog
Graph Data Augmentation Library for PyTorch Geometric
jarvisloh/gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
jarvisloh/mldocs
Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs
jarvisloh/rdkit
The official sources for the RDKit library
jarvisloh/resources
PyMC3 educational resources
jarvisloh/torch-two-sample
A PyTorch library for two-sample tests
jarvisloh/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
jarvisloh/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
jarvisloh/uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
jarvisloh/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.