JadeLilyx

JadeLilyx's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.2k27.1k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.7k2583112.7k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.5k9236744k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.1k26948951

• RobustFieldAutonomyLab/LeGO-LOAM

  LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

  Language:C++2.4k782681.1k

• tbakerx/react-resume-template

  A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css

  Language:TypeScript1.9k23391.5k

• longcw/faster_rcnn_pytorch

  Faster RCNN with PyTorch

  Language:Python1.7k52101466

• KaihuaTang/Scene-Graph-Benchmark.pytorch

  A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

  Language:Jupyter Notebook1.1k17204229

• autonomousvision/stylegan-xl

  [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

  Language:Python96737107112

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python6961916142

• greentfrapp/lucent

  Lucid library adapted for PyTorch

  Language:Python608163088

• microsoft/scene_graph_benchmark

  image scene graph generation benchmark

  Language:Python388139586

• DaehanKim/vgae_pytorch

  This repository implements variational graph auto encoder by Thomas Kipf.

  Language:Python3872973

• vuptran/graph-representation-learning

  Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

  Language:Python25311767

• yikang-li/FactorizableNet

  Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

  Language:Python21684238

• TIERS/tiers-lidars-dataset

  Multi-modal multi-lidar dataset

  Language:C++21461521

• ai-safety-foundation/sparse_autoencoder

  Sparse Autoencoder for Mechanistic Interpretability

  Language:Python18844139

• alison-carrera/onn

  Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

  Language:Python1795844

• TIERS/tiers-lidars-dataset-enhanced

  Language:C++1386108

• lukemelas/pytorch-pretrained-gans

  Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

  Language:Python1332810

• bknyaz/sgg

  Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

  Language:Jupyter Notebook13051120

• iffsid/disentangling-disentanglement

  Language:Python8914215

• LIBOL/ODL

  Language:Python7911825

• qxiaofan/awesome-uwb-localization

  《Graph Optimization Approach to Range-based Localization》; UWB localization

  Language:C++483111

• thestephencasper/benchmarking_interpretability

  31204

• utiasDSL/util-uwb-dataset

  The UTIAS UWB dataset and data parsing scripts.

  Language:Python30322

• thestephencasper/feature_level_adv

  Demo code for the paper: One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features

  Language:Jupyter Notebook12121

• e-bug/nmt-difficulty

  [ACL 2020] Code and data for our paper "It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information"

  Language:Python10501

• RayyanRiaz/EVGAE

  Epitomic Variational Graph Autoencoder

  Language:Python7201

• davmre/blog

  My website source in Jekyll bootstrap.

  Language:HTML6300