Deep Learning GPU Training System. Contribute to NVIDIA/DIGITS development by creating an account on GitHub.
git clone https://github.com/hpcaitech/ColossalAI.gitcdColossalAI#install dependencypip install -r requirements/requirements.txt#install colossalaipip install. If you don't want to install and enable CUDA kernel fusion (compulsory installation when using fused optimizer): ...
1.AI深度学习系统:DeepLearningSystem 6.8k⭐ OpenGithub社区:https://open.itc.cn/ Github :https://github.com/OpenGithubs Github 2023:https://github.com/OpenGithubs/Summary2023 一个介绍深度学习系统核心原理的项目。它深入探讨了深度学习系统的基本原理和核心概念,为对深度学习感兴趣的人提供了宝贵的学...
gitclonehttps://github.com/FareedKhan-dev/train-deepseek-r1.gitcdtrain-deepseek-r1 pip install -r requirements.txt 接下来,导入所需的 Python 库: # 导入必要的库importloggingimportosimportsysimportreimportmathfromdataclassesimportdataclass, fieldfromtypingimportList, Optional# 导入 PyTorch 与deep hub...
SpatialDWLS: https://drieslab.github.io/Giotto_site_suite/articles/analyses_deconvolution_Oct2021.html SPOTlight: https://marcelosua.github.io/SPOTlight Stereoscope:https://docs.scvi-tools.org/en/stable/user_guide/models/stereoscope.html STRIDE: https://stridespatial.readthedocs.io/en/latest/tutori...
git clone https://github.com/FareedKhan-dev/train-deepseek-r1.git cd train-deepseek-r1 pip install -r requirements.txt 1. 2. 3. 接下来,导入所需的 Python 库: # 导入必要的库 import logging import os import sys import re import math from dataclasses import dataclass, field from typing...
强化学习(TRL):主要采用了huggingface提供的grpo_trainer方案(参考链接:https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) 数据集:主要通过数据集gsm8k进行训练 GPU: 单张A10,显存24G 模型:Qwen2.5-0.5B-Instruct 2. 依赖安装 ...
c.https://raw.githubusercontent.com/hkust-nlp/simpleRL-reason/refs/heads/main/train/data/math_level3to5_data_processed_with_qwen_prompt.json:在simpleRL-reason的开源项目中的训练数据集 3、如何训练 3.1、设计奖励函数 从上一篇《从0开发大模型之DeepSeek的GRPO》中已经了解GRPO的原...
git clone https://github.com/anicolson/DeepXi.git python3 -m venv --system-site-packages ~/venv/DeepXi source ~/venv/DeepXi/bin/activate cd DeepXi pip install -r requirements.txt Otherwise, adocker imagecan be found on Docker Hub:https://hub.docker.com/r/fhoerst/deepxi ...
统计模型 FLOPS 等相关信息:https://github.com/Lyken17/pytorch-OpCounter pip install thopfromtorchvision.models import resnet50fromthop import profile model=resnet50() input= torch.randn(1,3,224,224) macs,params= profile(model, inputs=(input, )) ...