Aprendizaje automático · GitHub

深度学习与强化学习的系统学习路线：40 个实验，每个配数学推导笔记、原创插图和从零实现的代码，持续更新中

Quantile Regression Forests compatible with scikit-learn.

Recommender Learning with Tensorflow2.x

¡Un gran proyecto para la contratación universitaria, las campañas de contratación de otoño y primavera, y las prácticas! Implementa paso a paso una biblioteca de inferencia de aprendizaje profundo de alto rendimiento que admite la inferencia de modelos como llama2, Unet, Yolov5 y Resnet.

An Open-sourced Knowledgable Large Language Model Framework.

Using modified BiSeNet for face parsing in PyTorch

Just draw a bounding box and you can remove the object you want to remove.

Collection of generative models in Pytorch version.

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Implementaciones en Python puro de algoritmos básicos de aprendizaje automático

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Una tarea de restauración de imágenes mediante aprendizaje automático que elimina intuitivamente las marcas de agua y genera imágenes indistinguibles de la imagen de referencia real.

YoloV3 Implemented in Tensorflow 2.0

• yolov3 with pre-trained Weights
• yolov3-tiny with pre-trained Weights

This repository is no longer maintained.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

• dynamic RNN(GRU, LSTM)
• Residual Network(Deep CNN)

A License Plate Image Reconstruction Project in Tensorflow2

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

This repo contains annotated research papers that I found really good and useful