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yemenr
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Models and examples built with TensorFlow
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
State-of-the-art 2D and 3D Face Analysis Project
Open standard for machine learning interoperability
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high…
Simple Online Realtime Tracking with a Deep Association Metric
Benchmarks of approximate nearest neighbor libraries in Python
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
📡 All You Need to Know About Deep Learning - A kick-starter
Torchreid: Deep learning person re-identification in PyTorch.
A tour in the wonderland of math with python.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Pre-trained Deep Learning models and demos (high quality and extremely fast)
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
PyTorch extensions for high performance and large scale training.
from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/