Michael Nelson (michaelnetbiz)

michaelnetbiz

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Location:Washington, DC

Home Page:https://michaelnet.biz

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Michael Nelson's starred repositories

quivr

Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.

Language:PythonLicense:Apache-2.0Stargazers:33439Issues:270Issues:1146

whisper.cpp

Port of OpenAI's Whisper model in C/C++

ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Language:PythonLicense:MITStargazers:31605Issues:938Issues:9893

colima

Container runtimes on macOS (and Linux) with minimal setup

pkl

A configuration as code language with rich validation and tooling.

Language:JavaLicense:Apache-2.0Stargazers:9687Issues:52Issues:164

rags

Build ChatGPT over your data, all with natural language

Language:PythonLicense:MITStargazers:5974Issues:55Issues:38

Remotery

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

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parquet-mr

Apache Parquet

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amper

Amper - a project configuration and build tool with a focus on the user experience and the IDE support

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label-studio-ml-backend

Configs and boilerplates for Label Studio's Machine Learning backend

Language:PythonLicense:Apache-2.0Stargazers:443Issues:14Issues:205

samples

Collection of sample channels for side-loading on your Roku device

Language:BrightscriptLicense:MITStargazers:432Issues:68Issues:53

label-studio-converter

Tools for converting Label Studio annotations into common dataset formats

label-studio-transformers

Label data using HuggingFace's transformers and automatically get a prediction service

Language:PythonLicense:Apache-2.0Stargazers:173Issues:9Issues:14

nats-by-example

Collection of runnable, reference examples using NATS (https://nats.io)

examples

Example playground!

speke-reference-server

Secure Packager and Encoder Key Exchange (SPEKE) is part of the AWS Elemental content encryption protection strategy for media services customers. SPEKE defines the standard for communication between our media services and digital rights management (DRM) system key servers. This project provides the basic framework that partners can specialize and extend to support their specific method of Digital Rights Management while utilizing AWS' video streaming solutions.

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macao-sdk

Micro framework to build Compose Multiplatform Apps.

Language:KotlinLicense:UnlicenseStargazers:106Issues:7Issues:1

mp4analyser

mp4 file analyser written in Python

Language:PythonLicense:LGPL-3.0Stargazers:79Issues:4Issues:9

label-studio-sdk

Label Studio SDK

Language:PythonLicense:Apache-2.0Stargazers:75Issues:12Issues:69

video-headline

VideoHeadline is an open-source Content Management System (CMS), designed to help you manage and monetize video VOD and Live video content. It offers a user-friendly interface for content creators and administrators, making it easy to organize, publish and monitor video content.

Language:PythonLicense:Apache-2.0Stargazers:67Issues:0Issues:0

aws-pricing-sheets-addon

Google Sheets add-on for AWS Pricing

libavinc

libav* Modern C++ API

Language:C++License:MITStargazers:24Issues:3Issues:0

avplumber

A "gstreamer-like" C++ framework for ffmpeg/libav graphs with support of async processing and lock-free queue

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analyzer-public

VTCLab Media Analyzer feedback repo

metrics

privacy friendly (🇪🇺) video metrics hosted on mave.io

Language:ElixirLicense:AGPL-3.0Stargazers:13Issues:0Issues:0

java-client

Phemex Java Client SDK

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phemex-cpp-api

Phemex Market Data & Trading API in C++

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Android-Actor

Sample app showing the Actor Model style of programming in Android.

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django-ad-manager

Django app to help manage, schedule and control OpenX ads from one server to another.

Language:PythonLicense:Apache-2.0Stargazers:5Issues:5Issues:18

label-studio-ml-tutorial

Label Studio ML Tutorial

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