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Evan's Projects

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

alimeeting icon alimeeting

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

all-seeing icon all-seeing

This is the official implementation of the paper "The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World"

ar-demo-based-android icon ar-demo-based-android

基于安卓app的AR实现,主要是实现扫码等基本功能(基于EasyARSDK实现)

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers

audiomentations icon audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

chatlm-mini-chinese icon chatlm-mini-chinese

中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调。

conv-tasnet icon conv-tasnet

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

ctgan icon ctgan

Conditional GAN for generating synthetic tabular data.

deep-content-user icon deep-content-user

An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

face icon face

人脸融合功能实现

flowbasedbodyreshaping icon flowbasedbodyreshaping

Official repository of the paper 'Structure-Aware Flow Generation for Human Body Reshaping' in CVPR 2022

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imbalance-xgboost icon imbalance-xgboost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

ivop icon ivop

This is the PyTorch implementation of paper: Restorable Image Operators with Quasi-Invertible Networks (AAAI 2022)

javaguide icon javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

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