pfin Goto Github PK

alpa

Auto parallelization for large-scale neural networks

alphateam

Complex Network Analysis Using Machine Learning

cookbook

Judini's CookBook

data-link-python

A Python library for Nasdaq Data Link's RESTful API

distributed-bloom

Early dev prototype for decentralized bloom. Not for public eyes yet.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

graph_websearch_agent

Websearch agent built on the LangGraph framework

hivemind

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

hummingbot

Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain

intramarketdifference

k3s-ansible

The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etcd install with kube-vip, MetalLB, and more. Build. Destroy. Repeat.

langchain-crash-course

launchpad

A collection of quick starters for ansible, kubernetes, docker, linux, windows, and more. Great for HomeLabs!

llmsherpa

Developer APIs to Accelerate LLM Projects

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

meta_expert

Versatile agents for long running, research intensive tasks.

mev-inspect-py

🔎 an MEV inspector for Ethereum 🔎

moa

The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>

morphformers

morphtransformers

open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

opendevin

🐚 OpenDevin: Code Less, Make More

permutationentropy

A simple python implementation of permutation entropy.

pyfolio-reloaded

Portfolio and risk analytics in Python

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

realtimestreamingengineering

This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka and Elasticsearch. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic and connection to elasticsearch.

rsi-pca

synapse_cor

technicalanalysisautomation

timeseriesreversibility