reyna168's Stars
Coobiw/MPP-LLaVA
Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.
SkalskiP/ai-demos
reyna168/Keras_tutorial
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
mainadennis/An-AI-Chatbot-in-Python-and-Flask
An AI Chatbot using Python and Flask REST API
keras-team/keras
Deep Learning for humans
reyna168/Learn-Statistical-Learning-Method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Ether-YiTseWu/2nd-ML100Days
An Online Flipped Classroom relating to machine learning. In the final project, I use CNN to train a model that has the ability to classify cats and dogs
reyna168/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
datasciencedojo/datasets
A public repo of datasets
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
reyna168/micropython_class
CSU 107-2 智慧製造、工程量測 課程資料
jumbokh/micropython_class
AIOT ESP32 Micropython Class
maloyang/TCPY20180922_Python-industry-IoT
Python工業4.0 - 工廠監控系統 (PyCon2018整理後於台中分享)
TheAlgorithms/Python
All Algorithms implemented in Python
apachecn/.github
ApacheCN 开源组织:公告、介绍、成员、活动、交流方式
yenlung/Days-on-Jupyter
使用 Jupyter 的零散心得, 練習, 試驗, 還有小小的 projects。
yenlung/nccu-jupyter-math
這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。
yenlung/Python-3-Data-Analysis-Basics
Python 3 與數據分析概要
yenlung/Deep-Learning-MOOC
這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。
reyna168/intro-to-dl
Resources for "Introduction to Deep Learning" course.
reyna168/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
dabeaz/python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
leonbehero/Code
开发者课堂课程资料