rupertmenneer

rupertmenneer's Stars

• chengqianma/WeatherQA

  Language:Python16

• NVlabs/edm2

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

  Language:Python49520

• whlzy/FiT

  [ICML 2024 Spotlight] FiT: Flexible Vision Transformer for Diffusion Model

  3618

• lucidrains/rotary-embedding-torch

  Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

  Language:Python54745

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.7k2k

• NVlabs/edm

  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

  Language:Python1.3k139

• openai/guided-diffusion

  Language:Python6.1k817

• lucidrains/x-transformers

  A concise but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python4.7k398

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k327

• sony/ctm

  Language:Python22712

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.1k542

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.1k89

• lucidrains/ema-pytorch

  A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

  Language:Python49230

• BorealisAI/latent-bottlenecked-anp

  Language:Python51

• fadel/pytorch_ema

  Tiny PyTorch library for maintaining a moving average of a collection of parameters.

  Language:Python40326

• wesselb/neuralprocesses

  A framework for composing Neural Processes in Python

  Language:Python7612

• cambridge-mlg/convcnp

  Implementation of the Convolutional Conditional Neural Process

  Language:Jupyter Notebook12019

• YannDubs/Neural-Process-Family

  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

  Language:Jupyter Notebook19945

• EmilienDupont/neural-processes

  Pytorch implementation of Neural Processes for functions and images :fireworks:

  Language:Jupyter Notebook22247

• Algomancer/Bayesian-Flow-Networks

  A simple implimentation of Bayesian Flow Networks (BFN)

  Language:Jupyter Notebook23715

• nnaisense/bayesian-flow-networks

  This is the official code release for Bayesian Flow Networks.

  Language:Python24828

• cambridge-mlg/mphil-intro-module

  Jupyter notebooks on inference, regression and classification for MPhil students

  Language:Jupyter Notebook4511

• baegwangbin/MLMI

  MPhil Machine Learning and Machine Intelligence @ University of Cambridge

  Language:Jupyter Notebook444

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.8k1.3k

• OpenGVLab/DragGAN

  Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）

  Language:Python5k489

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.7k5.9k

• google/automl

  Google Brain AutoML

  Language:Jupyter Notebook6.2k1.4k

• bigcode-project/starcoder

  Home of StarCoder: fine-tuning & inference!

  Language:Python7.3k518

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k412

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.3k393