Person-Attribute-Recognition-MarketDuke
Yukun-Huang
403Sterne
A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.
Maschinelles Lernen · GitHub
Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.
Nützliche GitHub-Projekte
4,492 Projekte
ICON
YuliangXiu
1,679Sterne
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
RCAN
yulunzhang
1,515Sterne
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
lgo
yunabe
2,452Sterne
Interactive Go programming with Jupyter
- Write and execute Go (golang) interactively like Python.
- Jupyter Notebook integration
domain-transfer-network
yunjey
863Sterne
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
pytorch-tutorial
yunjey
32,521Sterne
PyTorch-Tutorial für Deep-Learning-Forschende
stargan
yunjey
5,297Sterne
StarGAN - Official PyTorch Implementation (CVPR 2018)
tensorflow-yolov3
YunYang1994
3,612Sterne
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
TensorFlow2.0-Examples
YunYang1994
1,697Sterne
🙄 Difficult algorithm, Simple code.
DeepLearning
yusugomori
3,187Sterne
Deep Learning (Python, C, C++, Java, Scala, Go)
NeatRL
YuvrajSingh-mist
238Sterne
Readable single-file PyTorch implementations of deep RL algorithms
- Single-file implementations: Each algorithm lives entirely in one self-contained file -- no hunting across modules
- Experiment Tracking: Built-in support for Weights & Biases logging
Paper-Replications-and-Experiments
YuvrajSingh-mist
430Sterne
From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE, plus SFT/GRPO post-training experiments.
PoinTr
yuxumin
873Sterne
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
onnxruntime-java
yuzawa-san
36Sterne
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
DDSP-SVC
yxlllc
2,713Sterne
Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)
pyod
yzhao062
10,086Sterne
Eine Python-Bibliothek zur Anomalieerkennung in tabellarischen Daten, Zeitreihen, Graphen, Texten, Bildern und Audiodaten. Mit über 60 Detektoren, durch Benchmarks gestützter ADEngine-Orchestrierung und einem agentischen Workflow für KI-Agenten.
awesome-ocr
zacharywhitley
1,033Sterne
Public GitHub repository
mxnet-the-straight-dope
zackchase
2,562Sterne
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
osm-yolo-crossings
Zaczero
34Sterne
🦓 AI-powered OpenStreetMap tool for importing zebra crossings
CogView
zai-org
1,800Sterne
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
ml_forge
zaina-ml
428Sterne
A visual-based graph node editor for training computer vision models.
fashion-mnist
zalandoresearch
12,887Sterne
Eine MNIST-ähnliche Datenbank für Modeprodukte. Benchmark :point_down:
pytorch-ts
zalandoresearch
1,372Sterne
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
concrete-ml
zama-ai
1,457Sterne
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
- Built-in models: Ready-to-use FHE-friendly models with a user interface that is equivalent to their the scikit-learn and XGBoost counterparts
- Customs models: Concrete ML supports models that can use quantization-aware training. These are developed by the user using PyTorch or keras/tensorflow and are imported into Concrete ML through ONNX