erinaldi

erinaldi's Stars

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.1k2041k1.9k

• lkwq007/stablediffusion-infinity

  Outpainting with Stable Diffusion on an infinite canvas

  Language:Python3.9k40171304

• NVlabs/tiny-cuda-nn

  Lightning fast C++/CUDA neural network framework

  Language:C++3.8k49395464

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook3.8k9628407

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k54117343

• keras-team/keras-tuner

  A Hyperparameter Tuning Library for Keras

  Language:Python2.9k61491396

• mitmath/computational-thinking

  Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

  Language:Julia2.6k10942483

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.5k4513126

• pnnl/neuromancer

  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

  Language:Python9842871125

• wandb/edu

  Educational materials on deep learning by Weights & Biases

  Language:Jupyter Notebook5761775267

• showyourwork/showyourwork

  A workflow for reproducible and open scientific articles

  Language:TeX575826048

• google-deepmind/distrax

  Language:Python540184633

• fehiepsi/rethinking-numpyro

  Statistical Rethinking (2nd ed.) with NumPyro

  Language:Jupyter Notebook450131474

• fregu856/papers

  I categorize, annotate and write comments for all research papers I read (430+ papers since 2018).

  40438154

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python332153013

• JuliaDynamics/NonlinearDynamicsTextbook

  Nonlinear Dynamics: A concise introduction interlaced with code

  Language:Julia22613623

• nicola-decao/BNAF

  Pytorch implementation of Block Neural Autoregressive Flow

  Language:Python1769334

• QuantumBFS/SSSS

  "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

  Language:Jupyter Notebook17528256

• smsharma/awesome-neural-sbi

  Community-sourced list of papers and resources on neural simulation-based inference.

  103627

• davidwhogg/DataAnalysisRecipes

  chapters of a book Hogg will never write

  Language:TeX90253220

• Information-Fusion-Lab-Umass/NuX

  Normalizing Flows using JAX

  Language:Python82934

• dingo-gw/dingo

  Dingo: Deep inference for gravitational-wave observations

  Language:Python68510022

• zxcalc/book

  Picturing Quantum Software: An Introduction to the ZX-Calculus and Quantum Compilation

  Language:HTML63574

• C2QA/bosonic-qiskit

  Extension of Qiskit to support hybrid boson-qubit simulations for the NQI C2QA effort.

  Language:Jupyter Notebook5354416

• CQCL/quantinuum-hardware-quantum-volume

  Repository for sharing Quantinuum's Quantum Volume data

  Language:Jupyter Notebook35203

• kmzzhang/nbi

  Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications

  Language:Python357174

• CQCL/quantinuum-hardware-specifications

  Repository for sharing Quantinuum's hardware specifications data

  Language:Jupyter Notebook29603

• dfm/numpyro-ext

  A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work

  Language:Python23223

• dingo-gw/flow-matching-posterior-estimation

  Language:Python20101

• JoeriHermans/awflow

  Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!

  Language:Python18132