skeletondyh's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
meta-llama/llama
Inference code for Llama models
OpenInterpreter/open-interpreter
A natural language interface for computers
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
openai/consistency_models
Official repo for consistency models.
state-spaces/s4
Structured state space sequence models
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
microsoft/X-Decoder
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
e3nn/e3nn
A modular framework for neural networks with Euclidean symmetry
google/jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
xxxnell/how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
generatebio/chroma
A generative model for programmable protein design
VICO-UoE/DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
bjing2016/alphaflow
AlphaFold Meets Flow Matching for Generating Protein Ensembles
decile-team/cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
BorgwardtLab/SAT
Official Pytorch code for Structure-Aware Transformer.
dtsip/in-context-learning
automl/TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
facebookresearch/riemannian-fm
code for "Riemannian Flow Matching on General Geometries".
DreamFold/FoldFlow
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
twistedcubic/attention-rank-collapse
[ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
louaaron/Reflected-Diffusion
[ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
vijaydwivedi75/lrgb
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
google-research/diffstride
TF/Keras code for DiffStride, a pooling layer with learnable strides.
georgiosarvanitidis/geometric_ml
This repository contains code for applying Riemannian geometry in machine learning.
skeletondyh/GRED
[ICML 2024] Recurrent Distance Filtering for Graph Representation Learning