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AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
Several simple examples for popular neural network toolkits calling custom CUDA operators.
A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
Brevitas: neural network quantization in PyTorch
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as bac…
List of papers on cryptography assisted deep learning privacy computation
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
A Library for Advanced Deep Time Series Models.
An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in re…
FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential p…
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
Approximating Wasserstein distances with PyTorch
xcyuyuyu / MVision
Forked from Ewenwan/MVision机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Drenches / Deep-Reinforcement-Learning-Algorithms-with-PyTorch
Forked from p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorchPyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementations of deep reinforcement learning algorithms and environments
Build your neural network easy and fast, 莫烦Python中文教学