Popular GitHub Repositories for Batch Gradient Descent Implementation

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

100 Days of ML Coding

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A game theoretic approach to explain the output of any machine learning model.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

Machine learning, in numpy

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Python Implementation of Reinforcement Learning: An Introduction

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

An open source implementation of CLIP.

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Implementation of Denoising Diffusion Probabilistic Model in Pytorch