Woojay Poynter's starred repositories

BenchDaddi

An open source GPU benchmarking project

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Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

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glance

A self-hosted dashboard that puts all your feeds in one place

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piko

An open-source alternative to Ngrok, designed to serve production traffic and be simple to host (particularly on Kubernetes)

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ml-class

Machine learning lessons and teaching projects designed for engineers

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chainlit

Build Conversational AI in minutes ⚡️

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open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

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semver

Work with Semantic Versions in Go

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supervision

We write your reusable computer vision tools. 💜

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timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

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DiffMOT

code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

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llm-rag-vectordb-python

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

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AgentGPT

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

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evo.ninja

A versatile generalist agent.

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mlops-zoomcamp

Free MLOps course from DataTalks.Club

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awesome-mlops

A curated list of references for MLOps

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prettygraph

An experimental UI for text-to-knowledge-graph generation

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nocodb

🔥 🔥 🔥 Open Source Airtable Alternative

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pykan

Kolmogorov Arnold Networks

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ruff-pre-commit

A pre-commit hook for Ruff.

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dotenv

Standalone, language agnostic dotenv

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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ZLUDA

CUDA on AMD GPUs

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tiny-world-map

tinyworldmap is a tiny world map for offline-first and low-bandwidth web apps

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penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

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kitops

Tools for easing the handoff between AI/ML and App/SRE teams.

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pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

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awesome-ai-agents

A list of AI autonomous agents

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