Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.
YuliangXiu
PoseFlow: Efficient Online Pose Tracking (BMVC'18)
yunjey
TensorFlow Implementation of "Show, Attend and Tell"
YutaroOgawa
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
YuvalNirkin
FSGAN - Official PyTorch Implementation
YuvrajSingh-mist
Educational distributed training and inference library for heterogeneous local hardware: Mac minis, Raspberry Pis and GPUs over plain Python sockets. FSDP, GRPO, parameter-server, expert and data parallelism.
yuxng
A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
yxlu-0102
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
yzhangcs
:rocket: State-of-the-art parsers for natural language.
yzhao062
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
z814081807
天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch
zae-bayern
A dataset of functional and defective solar cells extracted from EL images of solar modules
zai-org
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
zaidalyafeai
Implementation of web friendly ML models using TensorFlow.js. pix2pix, face segmentation, fast style transfer and many more ...
zainsharief
Cross-Platform Vulkan Backend for PyTorch
zakuro-ai
ASRDeepspeech x Sakura-ML (English/Japanese) with deepspeech2 model in pytorch with support from Zakuro AI.
zalandoresearch
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
zapplyjobs
Live AI and machine learning internships for students, refreshed through the Zapply job pipeline.
Zardinality
a tensorflow implementation of WGAN
Zasder3
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
zasdfgbnm
Debug PyTorch code using PySnooper
zcaceres
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
zchuz
[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
