🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

Resource scheduling and cluster management for AI

SkyChat是一款基于中文GPT-3 api的聊天机器人项目。它可以像chatGPT一样，实现人机聊天、问答、中英文互译、对对联、写古诗等任务。| SkyChat is a Chatbot project based on Chinese GPT3 API. Like chatGPT, it can do human-machine chat, question and answer, and can also complete tasks such as Chinese-English or English-Chinese translation, content continuation, couplets, and Chinese ancient poems writing.

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints

SkyText是由奇点智源发布的中文GPT3预训练大模型，可以进行文章续写、对话、中英翻译、内容风格生成、推理、诗词对联等不同任务。| SkyText is a Chinese GPT3 pre-trained large model released by Singularity-AI, which can perform different tasks such as chatting, Q&A, and Chinese-English translation.

PyTorch model training and layer saturation monitor

Simplified Deep Image Matting training code with keras on tensorflow

Model training examples for NeoPulse AI Studio AMI

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

Demonstrates on how to train your model on custom class using tensorflow

Deep Learning based research project for predicting mental state of a person.

Multi-label classification of various tree types

This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.

Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.

This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.

This repo contains work on Machine Learning with python. It basically contains codes on various topics of ML for further use on any big project.

Neural networks training pipeline based on PyTorch