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-unsupervised-guidance-for-semantic-segmentation

This is the Unsupervised Guidance For Semantic Segmentation. The aim of the project is to use the unsupervised segmentation as a prior of Neural Network model.

aqlm-evaluation-harness

lm-evaluation-harness version with support of AQLM intermediate checkpoints

bk-sdm

A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ICCV'23 Demo] [ICML'23 Workshop]

bloom-sparse-dechonk

Sparsification of Bloom

clip_experimental

Repository for experiments with several approaches to fine-tune model, pretrained on the CLIP: https://openai.com/blog/clip/

consistencydecoder

Consistency Distilled Diff VAE

cv_experimental

Repository for performing different experiments for different tasks in CV.

dl-hse-ami

Deep Learning course materials (HSE, Faculty of Computer Science)

dl4agx

A fork of DL4AGX with support for timm models

efficientobjectdetection

Our implementation of the paper "Object Detection in Large Images"

equivariantnn

Implementation of G-Conv from Cohen&Welling

fastobqplus

flows4ad

Repository for anomaly detection on Tabular data with normalising flows.

gnnwithoptuna

Optuna tuning of hyperparams on Heterophily datasets.

graf

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

graph2nn

implementation of Graph2NN paper - https://arxiv.org/abs/2007.06559

h2gcn

NaN

hamiltonian_perceptron

The implementation of HMC single neuron based on MacKay's book

heterophilous-graphs

Training GNNs on heterophilous graphs.

heterophilyspecificmodels

hilbert_curve

Matplotlib animation of Hilbert curves

llm-foundry

LLM sparse training code for MosaicML foundation models

lm-kernel-ft

Based on https://github.com/princeton-nlp/LM-Kernel-FT

majorityproblem

Repository for the networks solving the majority problems in different settings.

marlin-scale-tuning

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens. Version with scale finetuning.

mlreview_notebooks

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"

mmdetection

OpenMMLab Detection Toolbox and Benchmark

neural-tangents-russian-fork

Fast and Easy Infinite Neural Networks in Python

neural_networks_and_cv

optimal_transport_problem

The repository for final project (NLA course) - "Optimal Transport Problem"