shoumikchow

the-art-of-command-line

Master the command line, in one page

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

models

Models and examples built with TensorFlow

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

awesome-design-patterns

A curated list of software and architecture related design patterns.

wtfpython

What the f*ck Python? 😱

insomnia

The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

slim

Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Weylus

Use your tablet as graphic tablet/touch screen on your computer.

mmcv

OpenMMLab Computer Vision Foundation

hatch

Modern, extensible Python project management

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

data-diff

Compare tables within or across databases

backoff

Python library providing function decorators for configurable backoff and retry

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

nannyml

nannyml: post-deployment data science in python

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

cvlib

A simple, high level, easy to use, open source Computer Vision library for Python.

pooch

A friend to fetch your data files

sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

jekyll-twitter-plugin

A Liquid tag plugin for the Jekyll blogging engine that embeds Tweets, Timelines and more from Twitter API

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

label-studio-sdk

Label Studio SDK

amazon-sagemaker-mlops-template-with-aws-lambda-deployment