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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

QLoRA: Efficient Finetuning of Quantized LLMs

Code release for NeRF (Neural Radiance Fields)

Reference models and tools for Cloud TPUs.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Notebooks using the Hugging Face libraries 🤗

A small package to create visualizations of PyTorch execution graphs

📚 Jupyter notebook tutorials for OpenVINO™

Public repo for HF blog posts

OneDiff: An out-of-the-box acceleration library for diffusion models.

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…

Evaluation of the CNN design choices performance on ImageNet-2012.

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

A Dutch RoBERTa-based language model

Tutorials for deep learning course here:

A neural attention model for speech command recognition

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

Example for applying Gaussian and Laplace clipping on activations of CNN.

A practical approach to learning machine learning.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

A neural attention model for speech command recognition