dakenan1

dakenan1's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python167k44.1k

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.2k721

• hongleizhang/RSPapers

  A Curated List of Must-read Papers on Recommender System.

  6.1k1.3k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3.8k

• PaddlePaddle/PARL

  A high-performance distributed training framework for Reinforcement Learning

  Language:Python3.2k820

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.6k2.8k

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.1k1k

• dakenan1/LeetCode-Offer

  Python3 code for 剑指Offer（A.xx） and LeetCode（L.xx）

  Language:Python2

• dakenan1/Conv-Tasnet-Arxiv

  My implementation of Conv-TasNet paper from Arxiv

  Language:Python11

• taizilongxu/interview_python

  关于Python的面试题

  Language:Shell16.5k5.5k

• revotu/python-interviews

  Python经典面试题（python面试的复习参考资料）（持续更新中...）

  20765

• cyu0913/tacotron2

  Tacotron 2 - PyTorch implementation with faster-than-realtime inference

  Language:Jupyter Notebook1

• ageitgey/face_recognition

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

  Language:Python52.9k13.4k

• ShiZiqiang/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".

  Language:Python16641

• CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python52.1k8.7k

• r06944010/Speech-Separation-TF2

  Tensorflow 2 implementation of Speech Separation Methods

  Language:Python243

• r9y9/tacotron_pytorch

  PyTorch implementation of Tacotron speech synthesis model.

  Language:Jupyter Notebook30679

• ttaoREtw/Tacotron-pytorch

  A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

  Language:Python11025

• soobinseo/Transformer-TTS

  A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

  Language:Python652138

• asteroid-team/asteroid

  The PyTorch-based audio source separation toolkit for researchers

  Language:Python2.2k422

• mravanelli/SincNet

  SincNet is a neural architecture for efficiently processing raw audio samples.

  Language:Python1.1k261

• Hyfred/Pytorch_DeepFM

  DeepFM for CTR prediction problem （pytorch 1.0）

  Language:Python7122

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python3k698

• XiaoyuBi/CTR-Trial

  CTR Prediction by LightGBM

  Language:Jupyter Notebook1

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.2k22.1k

• xinntao/EDVR

  Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

  Language:Python1.5k318

• runninging/TASNET

  Time-domain Audio Separation Network (IN PYTORCH)

  Language:Python226

• midiayousefi/Prob-PIT

  Language:Python71

• code-terminator/DilatedRNN

  Tensorflow implementation for DilatedRNN

  Language:Python34460

• emreaksan/stcn

  STCN: Stochastic Temporal Convolutional Networks

  Language:Python7013