User-tian
Senior undergraduate in Department of Automation, Tsinghua University, working on explainable machine learning, passionate about AI music and MIR.
Tsinghua University
User-tian's Stars
facebookresearch/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
dvruette/figaro
Source code for "FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control"
billyblu2000/AccoMontage2
Chord and accompaniment generator, pure python package that generate chord progression and accompaniment according to given melodies. Code for paper AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System.
leo-so/sitar_transcription_with_hmlc_cfp
Source code and supplementary materials of the paper "Automatic Music Transcription for Sitar Music Analysis"
chrisdonahue/ddc
Dance Dance Convolution dataset tools and models
alexanderlerch/ACA-Slides
Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012/2022
yamathcy/awesome-music-informatics
A curated list of awesome article, tutorial, library, webpage, etc.
chrisdonahue/fall23-phd-prospectives
Info for prospective PhD students for Chris Donahue's lab at CMU starting Fall 23.
vsitzmann/phd-master-application-docs
A collection of the application documents I used to apply to universities in the US.
Wuziyi616/Graduate_Application
Documents used for grad school application
InvincibleWyq/ChatVID
Chat about anything on any video!
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jonbarron/website
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ZhenbangYou/University-Application--Computer-Science-Graduates-
csluchen/harsanyinet
An interpretable network to compute the Shapley values in a single forward propagation.
2019ChenGong/Functional-Analysis
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
shap/shap
A game theoretic approach to explain the output of any machine learning model.
marcoancona/DASP
Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)
baaivision/Painter
Painter & SegGPT Series: Vision Foundation Models from BAAI
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
mpezeshki/pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
cs231n/cs231n.github.io
Public facing notes page
kfzyqin/Research-Softmax-with-Mutual-Information
Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
ccha23/MI-NEE
Mutual Information Neural Entropic Estimation
RSMI-NE/RSMI-NE
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
MasanoriYamada/Mine_pytorch
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models