firstlove1208's Stars
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Zeyi-Lin/HivisionIDPhotos
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
olixu/SJTU_Thesis_Crawler
上海交通大学硕士博士学位论文批量下载工具
opensmartnic/awesome-smartnic
A curated list of awesome smartnic tutorials, papers and projects.
MicrosoftDocs/azure-docs
Open source documentation of Microsoft Azure
exajobs/cloud-native-collection
An ongoing curated list of awesome frameworks, important books, articles, talks, libraries, learning tutorials, best practices and technical resources about Cloud Native Development.
firstlove1208/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
instantX-research/InstantID
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
TirendazAcademy/PANDAS-TUTORIAL
Jupyter Notebooks and Data Sets for Pandas Library
shshankar1/ebooks
fonnesbeck/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ramitsurana/awesome-kubernetes
A curated list for awesome kubernetes sources :ship::tada:
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
jfzhang95/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
fregu856/3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
NVIDIA/DIGITS
Deep Learning GPU Training System
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
chassing/linux-sysadmin-interview-questions
Collection of Linux Sysadmin/DevOps interview questions
jaywcjlove/linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research