KayhanB21

fastapi-tips

FastAPI Tips by The FastAPI Expert!

action-transcription

A tool for creating a repository of transcribed videos

browser-ml-inference

Edge Inference in Browser with Transformer NLP model

mindsdb

The platform for building AI from enterprise data

Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

python-wasm

Build scripts and configuration for building CPython for Emscripten

dynaconf

Configuration Management for Python ⚙

spiceai

A self-hostable CDN for databases. Spice provides a unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets across databases, data warehouses, and data lakes.

bitsandbytes

Library for 8-bit optimizers and quantization routines.

frontend-containers

microservices-reference-implementation

A reference implementation demonstrating microservices architecture and best practices for Microsoft Azure

postgres-operator

Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.

synchronicity

Synchronicity lets you interoperate with asynchronous Python APIs.

kubernetes-examples

Minimal self-contained examples of standard Kubernetes features and patterns in YAML

CodingInterviews

This repository contains coding interviews that I have encountered in company interviews

streamlit

Streamlit — A faster way to build and share data apps.

facets

Visualizations for machine learning datasets

prefect

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

shap

A game theoretic approach to explain the output of any machine learning model.

helm-secrets

A helm plugin that help manage secrets with Git workflow and store them anywhere

optuna

A hyperparameter optimization framework

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

BackgroundMattingV2

Real-Time High-Resolution Background Matting

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

history-of-interpretation

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

awesome-NeRF

A curated list of awesome neural radiance fields papers

kube-linter

KubeLinter is a static analysis tool that checks Kubernetes YAML files and Helm charts to ensure the applications represented in them adhere to best practices.

Photon

Incredibly fast crawler designed for OSINT.

alibi-detect

Algorithms for outlier, adversarial and drift detection

alibi

Algorithms for explaining machine learning models