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mean-field-theory-deep-learning

paper lists and information on mean-field theory of deep learning

megalodon

Various ML/DL Resources organised at a single place.

mldocs

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

mlsmote

Multi label Synthetic Minority Over-sampling Technique (MLSMOTE)

molclr

MolCLR in PyTorch Geometric

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

mvgrl

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

node2vec

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

phase-prototypes-prediction

Predicting phase prototypes of inorganic substances through transfer learning

phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

ppl-and-bayesian-methods-gen-pyro

A rewrite of "Bayesian Methods for Hackers" in Pyro and Gen.jl. Still holding-fast to the "computation/understanding-first, mathematics-second" teaching paradigm - just using "more modern" libraries.

ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

pumml

Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.

pygcl

PyGCL: Graph Contrastive Learning Library for PyTorch

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-tricks

Some cool Python tricks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-dicom-classification

Code for analyzing medical images saved as .dicom files

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-goodies

PyTorch Boilerplate For Research

pytorch-rl

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

pytorchgeometrictutorial

Pytorch Geometric Tutorials

rdkit

The official sources for the RDKit library

resources

PyMC3 educational resources

rethinking

Statistical Rethinking course and book package