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adaptive_voice_conversion

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

awesome-knowledge-distillation-1

Awesome Knowledge Distillation

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

cvpr2022-dagan

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

cyclegan-vc2

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

detectron2_backbone

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

facedetectcamera

A project demo Face Detection from Camera or Image, use class media.FaceDetector android.

facedetector

Face detection for your Android app

kd_methods_with_tf

Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

maskcyclegan-vc

Implementation of Kaneko et al.'s MaskCycleGAN-VC model for non-parallel voice conversion.

metapruning

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nncf

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

pensieve-ppo

The simplest implementation of Pensieve (SIGCOMM 17') via state-of-the-art RL algorithms, including DQN, A2C, PPO, and SAC

pensieve-pytorch

perceptualsimilarity

LPIPS metric. pip install lpips

real-time-background-replacement

Real time background replacement using DeepLabv3 MobileNetv2 model for person segmentation and OpenCV for image processing.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

shadesketch

Implementation of "Learning to Shadow Hand-drawn Sketches" CVPR 2020 (Oral)

stargan-voice-conversion

full tensorflow implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169

synthtext_chinese

Modify from https://github.com/JarveeLee/SynthText_Chinese_version.git with python3 and cv3.