remunds's Stars
supabase/supabase
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Stability-AI/StableLM
StableLM: Stability AI Language Models
isl-org/Open3D
Open3D: A Modern Library for 3D Data Processing
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
nhost/nhost
The Open Source Firebase Alternative with GraphQL.
tensorchord/envd
🏕️ Reproducible development environment
isl-org/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
xl0/lovely-tensors
Tensors, for human consumption
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
google/edward2
A simple probabilistic programming language.
pnkraemer/tueplots
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
EFS-OpenSource/calibration-framework
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
team-approx-bayes/dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
rr-learning/CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
probabilisticai/probai-2022
Materials of the Nordic Probabilistic AI School 2022.
TyXe-BDL/TyXe
google-deepmind/conformal_training
This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".
ShellingFord221/My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
testingautomated-usi/uncertainty-wizard
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
somespecialone/aiosteampy
Trade and interact with steam market, webapi, guard.
StefanieStoppel/pytorch-mlflow-optuna
Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.
braun-steven/simple-einet
An implementation of EinsumNetworks in PyTorch.
JeyRunner/tuda-typst-templates
Typst Template for the Corporate Design of TU Darmstadt
peustr/bayesian-torch
An easy-to-use framework to turn any neural network definition in PyTorch into a Bayesian neural network.
sa-and/CausalPlayground
The CausalPlayground library serves as a tool for causality research, focusing on the interactive exploration of structural causal models (SCMs). It provides extensive functionality for creating, manipulating and sampling SCMs, seamlessly integrating them with the Gymnasium framework.