A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
- deep-learning
- neural-network
- neural-differential-equations
- pytorch
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Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
- reinforcement-learning
- deep-reinforcement-learning
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)
- alpaca
- koalpaca
- korean-nlp
- llama
Open-source implementation of Google Vizier for hyper parameters tuning
- ml
- dl
- hyperparameters
- optimization
Mathematical derivation and pure Python code implementation of machine learning algorithms.
- machine-learning
- python
- jupyter-notebook
A curated list of Best Artificial Intelligence Resources
- machine-learning
- regression
- neural-networks
- tensorflow
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
- pytorch
- pytorch-lightning
- pytorch-lightning-template
- best-practices
Stock Price Prediction using Machine Learning Techniques
- machine-learning
- supervised-learning
- stock-price-forecasting
- forecasting
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
- marketing-mix-modeling
- marketing-mix-modelling
- mmm
- marketing-science
📱 ✅ Some awesome projects in python! 📱 ✅
Keras implementation of a CNN network for age and gender estimation
- deep-learning
- convolutional-neural-networks
- imdb
- gender-estimation
Text To Video Synthesis Colab
- colab
- colab-notebook
- colaboratory
- t2v
Google Colaboratory Notebooks and Repositories (by @firmai)
- google-colab
- google-colab-notebook
- jupyter-notebook
- machine-learning
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
- data-science
- portfolio
- python
- pandas
EPFL Course - Optimization for Machine Learning - CS-439
一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等（ 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程）
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
- deeplearning
- pytorch
- python
- python3
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
- datanalytics
- geostatistics
- machine-learning
- python
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
A group of notebooks and other files which can help you learn AI from scratch.