Popular GitHub Repositories for Simple

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Bare bone examples of machine learning in TensorFlow

A Java library to use the OpenAI Api in the simplest possible way.

Build neural networks based only on Numpy

Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common datasets like MNIST, CIFAR10, and more.

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Keras BiseNet architecture implementation

Simple implementation of Least Squares Generative Adversarial Networks

基于DPO算法微调语言大模型，简单好上手。

Pytorch implements yolov3.Good performance, easy to use, fast speed.

Soupy is a Discord bot that uses Flux, and LM Studio. It chats and functions as an image generator for your users, and has other fun features.

Hier findest du das wohl einfachste und benutzerfreundlichste Chat-Script für die OpenAI-API GPT 3.5-tubro und GPT 4. Das Script ben?tigt kein Framework und du kannst es ohne Vorkenntnisse verwenden. // EN: Here you will find probably the simplest and most user-friendly chat script for the OpenAI API GPT 3.5-tubro and GPT 4.

Converts text to mp3 audio using google-tts-api, it hasn't a limit

Jarvis is a A.I. Personal Assistant System. That can help you with your daily ,regular tasks. You can control it using your voice. This system is made using python programming. Nothing is hard unless an logic applied that`s how jarvis define itself.

GAN: An example for generating Gaussian distribution by a simple generating adversarial network.

Vertical Federated Learning Implementation for Logistic regression

Private LLModel GUI Chat allows users to interact with a local large language model (LLM) using the Llama library and GGUF models.

TensorFlow Embeddings: Minimalistic Example

Simple Custom object classification with pytorch | Custom Model | Custom dataset | ONNX inference

A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.