OPENAGENTSKILL / DIRECTORY
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Results: 112
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
junyanz
Image-to-Image Translation in PyTorch
MorvanZhou
Build your neural network easy and fast, 莫烦Python中文教学
KevinMusgrave
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
dsgiitr
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
XinJingHao
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SA…
prabhuomkar
C++ Implementation of PyTorch Tutorials for Everyone
curiousily
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…
mravanelli
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label…
yassouali
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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