koosha-t
This is my personal GitHub page. I'm a computer scientist and data & ML enthusiast. Glad to be in touch with you: https://koosha.ai
KinaxisToronto, ON
koosha-t's Stars
PrefectHQ/marvin
✨ Build AI interfaces that spark joy
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
castorini/rank_llm
Repository for prompt-decoding using LLMs (GPT3.5, GPT4, Vicuna, and Zephyr)
xavctn/img2table
img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
weixi-feng/LayoutGPT
Official repo for LayoutGPT
koosha-t/whl_builder
template: convert your python project to a whl dependency!
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
cuthbertLab/music21
music21 is a Toolkit for Computational Musicology
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
koosha-t/WeblogSessionizationSpark
Sessionizing Weblogs using Spark/Scala
BretFisher/udemy-docker-mastery
Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
iamshaunjp/React-Firebase
All course files for the Net Ninja React & Firebase course.
cerndb/spark-dashboard
Spark-Dashboard is a solution for monitoring Apache Spark jobs. This repository provides the tooling and configuration for deploying an Apache Spark Performance Dashboard using containers technology.
LucaCanali/sparkMeasure
This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
bear/python-twitter
A Python wrapper around the Twitter API.
Barabasi-Lab/crypto-art
Data repository for paper: Quantifying NFT-driven networks in crypto art
google/airdialogue
nlpdata/dialogre
Dialogue-Based Relation Extraction
facebookresearch/end-to-end-negotiator
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Alex-Fabbri/Multi-News
Large-scale multi-document summarization dataset and code
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
josolnik/MLND
theadamsabra/LearningfromAudio
Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.
lamthuyvo/social-media-data-scripts
tweepy/tweepy
Twitter for Python!
aws-samples/amazon-elasticache-samples
Samples and documentation for using the Amazon ElastiCache Redis and Memcached
sofianhamiti/amazon-sagemaker-pipelines-mlflow
Step-by-step guide to using MLflow in a SageMaker MLOps project
cuiIRISA/tensorflow-sagemaker-on-pycharm