论文写作与资料分享

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Keras Implementation of Video Swin Transformers for 3D Video Modeling

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Flow addresses the challenge of statistical heterogeneity in federated learning through creating a dynamic personalized model for each input instance through a routing mechanism.

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

Grounded Language-Image Pre-training

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

An open source implementation of CLIP.

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

深度学习经典、新论文逐段精读

Federated learning using a mixture of experts

[NeurIPS'23] FedL2P: Federated Learning to Personalize

Federated Learning - PyTorch

《Pytorch模型训练实用教程》中配套代码

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Flower: A Friendly Federated Learning Framework

Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

NVIDIA Federated Learning Application Runtime Environment