A simple package for distributed model training using Distributed Data Parallel (DDP) in PyTorch.

Cast video, image, Url to DDP device (WLED ...)

A set of scripts and configurations for pretraining of Large Language Models (LLM)

demo of DDP workflow & beginner-friendly

Dataloading for JAX

Distributed Data Parallel (DDP) examples

A simple Pytorch template for deep learning.

iterative Linear Quadratic Regulator with constraints.

This repository outlines a comprehensive guide for training a distributed deep learning model.

Dolby Encoding Engine Wrapper

Optimal control solver implemented in Python. SymPy for symbolic differentiation and Numba for fast computation.

Framework, Model & Kernel Optimizations for Distributed Deep Learning - Data Hack Summit

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Non-linear trajectory optimization via iLQR/DDP.

In this repository there are the projects developed during the course of Advance Optimization-based Robot Control. The main topics are Task Space Inverse Dynamics (TSID), Differential Dynamic Programming (DDP) and Deep Q-Network (DQN).

Repository of the course "Optimisation Based Robot Control"

TUGAS NF PYTHON GEMPA

A pytorch project template for intensive AI research. Separate datamodule and models and thus support for multiple data-loaders and multiple models in same project

bert_seq2seq的DDP版本，支持bert、roberta、nezha、t5、gpt2等模型，支持seq2seq、ner、关系抽取等任务，无需添加额外代码，轻松启动DDP多卡训练。

This Code describes how to seed up the training of CNN (Convolutional Neural Network), and also shows whether the results change. there are some my Chinese communication websites such as CSDN and Quora (Chinese)-Zhihu where I explain this code.