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awesome-diffusion-models

A collection of resources and papers on Diffusion Models

baal

Using approximate bayesian posteriors in deep nets for active learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

chatbot

a naive chatbot that sometimes misdiagnoses

cpp-ml

machine learning in C++

cpython

The Python programming language

crf

Introduction to Conditional Random Fields

deep-metric-learning

InfoNCE, Soft Nearest Neighbour on MNIST and Fashion-MNIST

densenet

A naive implementation of DenseNet in tensorflow

digit-convnet

digit classification using Tensorflow

docker-images

fisheries-convnet

Convolutional Neural Network with Tensorflow and Object Detection with OpenCV for Kaggle Image Recognition challange

gan

Conditional GAN, Wasserstein distance and Gradient Penalty in tensorflow

gensim

Topic Modelling for Humans

gradient-descent

simple implementation of standard Gradient Descent algorithm, along with Sigmoid and GLM cost functions

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

leaf-convnet

Leaf Classification using Neural Network in Tensorflow

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

polars

Fast multi-threaded, hybrid-out-of-core query engine focussing on DataFrame front-ends

prml

PRML algorithms implemented in Python

prml-1

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

python-ml

machine learning algorithms in Python

python-pp

probabilistic programming workshops in Python 3

python-rl

reinforcement learning workshops in Python

rainforest-tagging

Convolutional Neural Net and Recurrent Neural Net in Tensorflow for satellite images multi-label classification

santander-value-prediction

scikit-learn

scikit-learn: machine learning in Python

shap

A unified approach to explain the output of any machine learning model.