Deep Learning Algorithms Python Packages

sparsezoo

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

sparseml

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

gptmed

pip install gptmed

tnlearn

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

shinnosuke

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

the-compiler

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

dougnet

A lightweight, deep learning library written in pure Python

lazaro

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

bigraph

Bipartite-network link prediction in Python

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

echoai

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

pyccnn

A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn

tools4yolo

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

npdl

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

sunstreaker

以jax为后端的类似keras的框架