jaikumarm

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Bend

A massively parallel, high-level programming language

autogluon

Fast and Accurate ML in 3 Lines of Code

corenet

CoreNet: A library for training deep neural networks

probability

Probabilistic reasoning and statistical analysis in TensorFlow

torchtune

A Native-PyTorch Library for LLM Fine-tuning

ollama-python

Ollama Python library

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

mvts_transformer

Multivariate Time Series Transformer, public version

FEDformer

FinMem-LLM-StockTrading

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

ICML2022-FEDformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

PromptAgent

This is the official repo for "PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgent is a novel automatic prompt optimization method that autonomously crafts prompts equivalent in quality to those handcrafted by experts, i.e., expert-level prompts.

pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

OrderflowChart

This repository plots orderflow footprint charts using plotly in python.

trade_aggregation-rs

Aggregate trade data into user-defined candles using information driven rules

Empowering-Time-Series-Analysis-with-LLM

Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"

ppromptor

Prompt-Promptor is a python library for automatically generating prompts using LLMs

x-trend

X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies

changeforest

Random Forests for Change Point Detection

ruleopt

Optimization-Based Rule Learning for Classification

ocpdet

📦 A Python package for online changepoint detection, implementing state-of-the-art algorithms and a novel approach based on neural networks.

Stock-recommendation-with-ML

Using classification models to predict if we should buy a stock to make money