mandichen

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

nlp_course

YSDA course in Natural Language Processing

sqlalchemy

The Database Toolkit for Python

cog

Containers for machine learning

python-docs-samples

Code samples used on cloud.google.com

WantWords

An open-source online reverse dictionary.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

chartify

Python library that makes it easy for data scientists to create charts.

nextflow

A DSL for data-driven computational pipelines

tikzplotlib

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Book-Mathmatical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

madmom

Python audio and music signal processing library

NeuralNote

Audio Plugin for Audio to MIDI transcription using deep learning.

infercnv

Inferring CNV from Single-Cell RNA-Seq

scRNA-seq_online

CrackingMachineLearningInterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

python-oracledb

Python driver for Oracle Database conforming to the Python DB API 2.0 specification. This is the renamed, new major release of cx_Oracle

midi-ddsp

Synthesis of MIDI with DDSP (https://midi-ddsp.github.io/)

recipes

Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.

multimodal-ml-music

List of academic resources on Multimodal ML for Music

mir-datasets

Simple collection of MIR datasets with metadata and links

symbolic-music-diffusion

Symbolic Music Generation with Diffusion Models

cyclical_annealing

MetaMIDIDataset

music-cocreation-tutorial

Start-to-finish tutorial for interactive music co-creation in PyTorch and Tensorflow.js

automix-toolkit

Models and datasets for training deep learning automatic mixing models