Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Official implementation for "Image Quality Assessment using Contrastive Learning"
Tools to Design or Visualize Architecture of Neural Network
Measures and metrics for image2image tasks. PyTorch.
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
A package to mimic the use of parfor as done in Matlab.
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路,完整单步/回看/变速/语音讲解在 algomooc.com）
NVIDIA's Deep Imagination Team's PyTorch Library
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
The best Toastmasters Timer for your meetings, it's simple, fast, and accurate.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Asses…
Comparison of IQA models in Perceptual Optimization
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
A PR to fix some issues with google-app-engine deployment of the FastAI v3 course
Learning a Neural 3D Texture Space from 2D Exemplars [CVPR 2020]
Adaptation of discriminative learning rates from the Fastai library for standard PyTorch.
The source code for paper "Deep Image Spatial Transformation for Person Image Generation"
Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS2019
A machine learning example app: dog classification in the browser
Source code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"