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3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

ai_projects

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

alphafold

Open source code for AlphaFold.

ami-diarization-setup

apue_notes

《UNIX环境高级编程》中文第三版笔记

assert

JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).

asv-subtools

An Open Source Tools for Speaker Recognition

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bagoftricks-lt

A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

cdcn

Central Difference Convolutional Networks

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

classyvision

An end-to-end PyTorch framework for image and video classification

conv-tasnet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

cplusplus-_implementation_of_introduction_to_algorithms

《算法导论》第三版中算法的C++实现

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deceived

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dfc2019

2019 IEEE GRSS Data Fusion Contest

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

dl_topics

List of DL Topics and resources essential for cracking interviews

dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face_recognition

The world's simplest facial recognition api for Python and the command line