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DeepSeek Coder: Let the Code Write Itself
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
This is the source code for the Educational Competition Optimizer (ECO)
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
The source codes of Artemisinin Optimization are also publicly available at https://aliasgharheidari.com/AO.html, This study presents the analysis and principle of AO algorithm to optimize differen…
The source codes of Parrot optimizer are also publicly available at https://aliasgharheidari.com/PO.html, This study presents the analysis and principle of an effective algorithm to optimize differ…
🦜🔗 Build context-aware reasoning applications
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This is a collection of AI ecosystem, which gathers and organizes various interesting and useful AI-related projects
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
AI image generator, using openai DALL-E API 🎉
ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been f…
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
🍃Wind Speed Prediction Model with LSTM and Tensorflow backend!!!
Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
An open-access benchmark and toolbox for electricity price forecasting
Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
All the codes for the air pollution data prediction
Air pollution prediction
Air Pollution Prediction
KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning