AlanRemTT's Stars
QuivrHQ/quivr
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
shiyi25928988/plinth
codeacme17/examor
For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
apache/iotdb
Apache IoTDB
minio/minio
The Object Store for AI Data Infrastructure
mamoe/mirai
高效率 QQ 机器人支持库
volatilityfoundation/volatility
An advanced memory forensics framework
teddysun/lamp
Install LAMP (Linux + Apache + MySQL/MariaDB + PHP) for AlmaLinux/RockyLinux/CentOS/Debian/Ubuntu
adamian98/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Niraj-Lunavat/Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
reedscot/icml2016
Generative Adversarial Text-to-Image Synthesis
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tensorflow/models
Models and examples built with TensorFlow
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
SnailTyan/deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
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
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
JustFollowUs/Machine-Learning
apachecn/ai-roadmap
ApacheCN AI 路线图(知识树)
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
earlgrey0103/ThinkPython2-CN
《Think Python 2e》最新版中文翻译,已完结。