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A curated list of Monte Carlo tree search papers with implementations.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A mini-library for training consistency models.
Repository for Fast Non-autoregressive Inverse Folding with Discrete Diffusion
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Unofficial PyTorch implementation of "Step-unrolled Denoising Autoencoders for Text Generation"
A language linker platform from SMILES to other stuff
Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
A method to generate counterfactuals
Implementation of methods to sample from Boltzmann distributions
Awesome resources on normalizing flows.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Computes a molecular graph for protein structures.
A Python 3 version of the protein descriptor package propy
Bag of Tricks for Graph Neural Networks.
(Personalized) Page-Rank computation using PyTorch
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categoric…
🐍 Geometric Computer Vision Library for Spatial AI
TigerLily: Finding drug interactions in silico with the Graph.
PyTorch implementation of normalizing flow models
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Search the most relevant emojis given a natural language query