Search Packages

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

gptmed

pip install gptmed

shinnosuke

A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.

tools4yolo

Some image augmentation tools for yolov5 (and probably other models)

the-compiler

Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!

lazaro

Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms

datacull

DataCull is a modular, light-weight data pruning library containing many dataset pruning (coreset selection) algorithm including the official Implementation of the paper, titled, RCAP: Robust, Class-Aware, Probab ilistic Dynamic Dataset Pruning

dougnet

A lightweight, deep learning library written in pure Python

gptgpt

A lightweight GPT-based language model framework for training custom question-answering models on any domain

bigraph

Python package for link prediction in bipartite graphs and networks

pyccnn

A package for building and training cascade correlation neural networks in tensorflow and scipy.

tnlearn

A Python package that uses task-based neurons to build neural networks.

echoai

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

npdl

Deep Learning Library based on pure Numpy

sunstreaker

源码清晰明了，使用简单好搞