neural_prophet
minGPT
| neural_prophet | minGPT | |
|---|---|---|
| 5 | 35 | |
| 3,662 | 19,037 | |
| - | - | |
| 8.6 | 0.0 | |
| 15 days ago | 23 days ago | |
| Python | Python | |
| MIT License | MIT License |
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neural_prophet
- Facebook Prophet: library for generating forecasts from any time series data
- Time series analysis of Bitcoin price in Python with fbprophet ?!
- 14 September 2021 - Daily Chat Thread
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[D] Stock prediction using lstm(plz help)
NeuralProphet
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Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
minGPT
- FLaNK AI Weekly for 29 April 2024
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Ask HN: Daily practices for building AI/ML skills?
minGPT (Karpathy): https://github.com/karpathy/minGPT
Next, some foundational textbooks for general ML and deep learning:
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[D] What are some examples of being clever with batching for training efficiency?
Language Model novice here. I was going through the README section of minGPT and read this line.
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LLM Visualization: 3D interactive model of a GPT-style LLM network running inference.
The first network displayed with working weights is a tiny such network, which sorts a small list of the letters A, B, and C. This is the demo example model from Andrej Karpathy's minGPT implementation.
- LLM Visualization
- Learn Machine Learning
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Facebook Prophet: library for generating forecasts from any time series data
Tried it once. Its promise is to take the dataset's seasonal trend into account, which makes sense for Facebook's original use case.
We ran it on such a dataset and found out that directly using https://github.com/karpathy/minGPT consistently gives a better result. So we ended up using the output of Prophet as an input feature to a neural network, but the result was not improved in any significant way.
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Tokenization of numerical series
Sure, im trying to regenerate a bunch of complex numbers based on their absolute value. So im trying to embed these absolute values and then using gpt model(probably mini gpt) try to recover the original comples numbers. There is a certain connection between these complex numbers and their order which im not capable of explaining yet. Im hoping the model would be capable of recognizing certain sequences of these absolute values and match them with the desired complex counterparts (by training the model).
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Anyone know of any articles on training a LLM from scratch on a single GPU?
minGPT (https://github.com/karpathy/minGPT)
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Understanding LLMs(to the best of our knowledge)
Check out minGPT and nanoGPT from Karpathy, he puts out some of the best machine learning tutorials and teaching content.
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Pytorch-Simple-Transformer - A simple transformer implementation without difficult syntax and extra bells and whistles.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
nn-zero-to-hero - Neural Networks: Zero to Hero
sysidentpy - A Python Package For System Identification Using NARMAX Models
huggingface_hub - The official Python client for the Huggingface Hub.