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

tools4yolo

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

shinnosuke

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

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

bigraph

Bipartite-network link prediction in Python

dougnet

A lightweight, deep learning library written in pure Python for pedagogical purposes.

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

tnlearn

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

pyccnn

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

echoai

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

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

gptgpt

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