deepsnap
snap-stanford
574stars
Python library assists deep learning on graphs
Machine Learning · GitHub
Train, evaluate, and run machine learning models.
Useful GitHub projects
7,238 projects
GiGL
Snapchat
86stars
Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference for Graph Neural Networks
- 🧠 Versatile GNN Applications: Supports easy customization in using GNNs in supervised and unsupervised ML applications like node classification and link prediction.
- 🚀 Designed for Scalability: The architecture is built with horizontal scaling in mind, ensuring cost-effective performance throughout the process of data preprocessing and transformation, model training, and inference.
pytorch-hed
sniklaus
525stars
a reimplementation of Holistically-Nested Edge Detection in PyTorch
pytorch-pwc
sniklaus
662stars
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
softmax-splatting
sniklaus
514stars
an implementation of softmax splatting for differentiable forward warping using PyTorch
AutoMoonBot
SnowCheetos
36stars
Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha
super-resolution
soapisnotfat
753stars
collection of super-resolution models & algorithms
Recommender_System
solidglue
737stars
推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available inference services base on Golang.
tensorflow.rb
somaticio
832stars
tensorflow for ruby
treebank
someben
40stars
Ruby loader for the Stanford Sentiment Treebank (SST) parse trees and phrase labels, plus a locality-sensitive-hash index for word2vec binaries
VLM-AutoYOLO
Somnusochi
278stars
AI Auto Annotation & YOLO Training Pipeline, End-to-end object detection auto-labeling and YOLO training platform. VLM-powered annotation with NVIDIA LocateAnything-3B, manual refinement, one-click YOLO training, video keyframe extraction, and model validation. Supports image and video.
- 🤖 VLM auto-labeling: Open-vocabulary object detection with LocateAnything-3B
- 🎯 SAM2 / SAM3 segmentation: Bbox → pixel-precise mask with SAM 2.1 or SAM3 text-driven detection+segmentation in one pass, BBox/Mask toggle on canvas
tape
songlab-cal
746stars
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
pytorch-template
songquanpeng
506stars
To be the world's best PyTorch project template.
Transformer-TTS
soobinseo
695stars
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
attentions
sooftware
548stars
PyTorch implementation of some attentions for Deep Learning Researchers.
kospeech
sooftware
637stars
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
DeepLearningNotes
Sophia-11
502stars
《深度学习》花书手推笔记
parrot
sotelo
607stars
RNN-based generative models for speech.
diffsptk
sp-nitech
202stars
A differentiable version of SPTK
Awesome-DynamicGraphLearning
SpaceLearner
713stars
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
sparklyr
sparklyr
970stars
R interface for Apache Spark
pytorch-segmentation-toolbox
speedinghzl
776stars
PyTorch Implementations for DeeplabV3 and PSPNet
iris-3b
speridlabs
227stars
Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
SimCLR
Spijkervet
824stars
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.