Pinned Repositories
dad
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
bmc_ld
fiddling with Langevin MC
cfg_project
Twitter API
compress-my-image
datasets-utilies
collection of utility scripts to do with data
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
example
i-Code
idad
Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
desi-ivanova's Repositories
desi-ivanova/idad
Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
desi-ivanova/BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
desi-ivanova/bmc_ld
fiddling with Langevin MC
desi-ivanova/cfg_project
Twitter API
desi-ivanova/compress-my-image
desi-ivanova/datasets-utilies
collection of utility scripts to do with data
desi-ivanova/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
desi-ivanova/example
desi-ivanova/i-Code
desi-ivanova/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
desi-ivanova/lora-diffusers
Using Low-rank adaptation to quickly fine-tune diffusion models.
desi-ivanova/mcmc_mirror_descent
Bayesian Modelling and Computation Project.
desi-ivanova/NeuralCompression
A collection of tools for neural compression enthusiasts.
desi-ivanova/PSIS
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
desi-ivanova/pyro
Deep universal probabilistic programming with Python and PyTorch
desi-ivanova/random-replications
Some random experiments and replications
desi-ivanova/SpQR
desi-ivanova/starter-academic
desi-ivanova/thesis-experiments