Yitao1024

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, ... 🧠

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

ChatTTS

A generative speech model for daily dialogue.

LLM101n

LLM101n: Let's build a Storyteller

mojo

The Mojo Programming Language

pydantic

Data validation using Python type hints

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

sktime

A unified framework for machine learning with time series

marshmallow

A lightweight library for converting complex objects to and from simple Python datatypes.

mamba

The Fast Cross-Platform Package Manager

skorch

A scikit-learn compatible neural network library that wraps PyTorch

ConvNeXt

Code release for ConvNeXt model

torchinfo

View model summaries in PyTorch!

cloudpickle

Extended pickling support for Python objects

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

biliup-app

b站全平台投稿客户端，支持多p投稿，稿件编辑

pytorch-fm

Factorization Machine models in PyTorch

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

jpmml-sklearn

Java library and command-line application for converting Scikit-Learn pipelines to PMML

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

tabular-benchmark

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

pyMetaheuristic

pyMetaheuristic: A Comprehensive Python Library for Optimization

aiohttp_retry

Simple retry client for aiohttp.

T-LSTM

Time-Aware LSTM

hillclimbers

A python module that uses hill climbing to iteratively blend machine learning model predictions.

PAUCI

An implement of the NeurIPS 2022 paper: Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm.