talesa

amci

Amortized Monte Carlo Integration

amortized-monte-carlo-integration

bugs2foppl

Transpiler for probabilistic programming languages: BUGS to FOPPL

clj-antlr

Clojure bindings for the ANTLR 4 parser

compiled-inference

Train neural networks to use as SMC and importance sampling proposals

peg-solitaire-backtracking

Quickly hacked backtracking search for the Cracker Barrel peg solitaire

probmlbib

Probabilistic ML shared bibtex file

talesa/amci

Amortized Monte Carlo Integration

talesa/probmlbib

Probabilistic ML shared bibtex file

talesa/amortized-monte-carlo-integration

talesa/pygments-style-ept

talesa/slurm_gpustat

A simple command line tool to show GPU usage on a SLURM cluster

talesa/ai-deadlines

:alarm_clock: AI conference deadline countdowns

talesa/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

talesa/awesome-mlss

List of summer schools in machine learning + related fields across the globe

talesa/benanne.github.io

talesa/botorch

Bayesian optimization in PyTorch

talesa/burgerbot

talesa/causally_motivated_shortcut_removal

talesa/ConfigArgParse

A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.

talesa/datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

talesa/docs

talesa/expRNN

Code to reproduce the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"

talesa/hello-slurm

talesa/language-generic-config

Basic syntax highlighting for generic config files in Atom.

talesa/lgf

Pytorch implementation of Localised Generative Flows

talesa/news-feed-eradicator

A browser extension that deletes your news feed and replaces it with a nice quote

talesa/pytorch-flows

PyTorch implementations of algorithms for density estimation

talesa/pytorch_modelsize

Estimates the size of a PyTorch model in memory

talesa/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

talesa/resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

talesa/scikit-learn

scikit-learn: machine learning in Python

talesa/syne-tune

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

talesa/talesa.github.io

talesa/transfer-of-status-report

talesa/tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

talesa/website-1