ShusenTang/Deep-Learning-with-PyTorch-Chinese
quality grade F, 32 out of 100本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Deformable Convolutional Networks v2 with Pytorch
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
"Deep Generative Modeling": Introductory Examples
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和PyTorch两版本)
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
Scalable and memory-optimized training of diffusion models
A Toolbox for Adversarial Robustness Research
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Open source person re-identification library in python
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Tensors, for human consumption
A best practice for deep learning project template architecture.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
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