abbasmammadov

abbasmammadov's Stars

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.3k2411392.7k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python14.4k1169741.9k

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k5951412

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k3938507

• google-deepmind/alphageometry

  Language:Python4.1k53122464

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.1k37211549

• YangLing0818/RPG-DiffusionMaster

  [ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

  Language:Jupyter Notebook1.7k265197

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.4k4313124

• NVlabs/edm2

  Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)

  Language:Python51712521

• cloneofsimo/minRF

  Minimal implementation of scalable rectified flow transformers, based on SD3's approach

  Language:Jupyter Notebook4396931

• google-deepmind/dm_pix

  PIX is an image processing library in JAX, for JAX.

  Language:Python38710922

• sony/ctm

  Language:Python23018712

• alasdairtran/fourierflow

  [ICLR 2023] Factorized Fourier Neural Operators

  Language:Python1457819

• Zhengyu-Huang/InverseProblems.jl

  Language:Jupyter Notebook855212

• NVlabs/RED-diff

  Language:Jupyter Notebook697710

• ashiq24/UNO

  Language:Jupyter Notebook48228

• HJ-harry/DDS

  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2303.05754).

  Language:Python45153

• zhangbingliang2019/DAPS

  Code for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing"

  Language:Python35343

• HeSunPU/DPI

  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

  Language:Jupyter Notebook33328

• MoeinSorkhei/glow2

  Full-Glow: Fully conditional Glow for more realistic image generation

  Language:Python26401

• yolu1055/conditional-glow

  Conditional-Glow for Structured Prediction

  Language:Python26496

• DreamSampler/dream-sampler

  The official repository for DreamSampler (ECCV24)

  Language:Python221

• ssimplexity/CS492_spring2024

  KAIST. CS492 Algorithms for NP-hard Problems. Spring 2024.

  18200

• kaist-plrg-cs320/assignment-docs

  Language:Scala133116

• neuraloperator/cond-diffusion-operators-edm

  Language:Python11502

• neuraloperator/DiffusionOperators

  Language:Python10502

• leeleesang/Defining_NN

  The supplementary files for the ICML paper "Defining Neural Network Architecture through Polytope Structure of Datasets"

  Language:Jupyter Notebook61

• star-kwon/TCI_CyclefreeCycleGAN

  Language:Python4110

• hajizadafarid/TSP-Drone-Environment

  Comparison of two TSP-Drone environment implementations: one using Python/NumPy, and the other with RL4CO/PyTorch. Simulates coordinated truck and drone deliveries. Ensures identical results by comparing initial states, available actions, and behaviors across steps.

  Language:Python2100

• laplcebeltrami/lb

  Language:MATLAB20