Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
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.
AlpacaDataCleaned
Alpaca dataset from Stanford, cleaned and curated
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
apps
one benchmark for llm coding
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
Ax
Adaptive Experimentation Platform
lidbox
End-to-end spoken language identification out of the box.
AI-X-King's Repositories
AI-X-King/MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。
AI-X-King/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
AI-X-King/MTFAA-Net
Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
AI-X-King/Ax
Adaptive Experimentation Platform
AI-X-King/Wav2Keyword
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
AI-X-King/SpeechT5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (ACL'2022)
AI-X-King/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
AI-X-King/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
AI-X-King/calculator
Windows Calculator: A simple yet powerful calculator that ships with Windows
AI-X-King/CPlusPlusThings
C++那些事
AI-X-King/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
AI-X-King/dns_mos_calculate
Code for calculate DNS_MOS.
AI-X-King/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
AI-X-King/onnx-tutorials
Tutorials for creating and using ONNX models
AI-X-King/L3DAS22-TASK2
A Track-Wise Ensemble Event Independent Network for 3D Polyphonic Sound Event Localization and Detection
AI-X-King/tinytetris-game-elsfk-
80x23 terminal tetris!
AI-X-King/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
AI-X-King/wav2vec2-live
A live speech recognition using Facebooks wav2vec 2.0 model.
AI-X-King/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AI-X-King/onnx
Open standard for machine learning interoperability
AI-X-King/espnet
End-to-End Speech Processing Toolkit
AI-X-King/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
AI-X-King/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
AI-X-King/NAS_VAD
AI-X-King/hopfield-layers
Hopfield Networks is All You Need
AI-X-King/Energy_Based_VAD
AI-X-King/ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
AI-X-King/chainer
A flexible framework of neural networks for deep learning
AI-X-King/nasbowl
[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
AI-X-King/scikit-learn
scikit-learn: machine learning in Python