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ssahgal's Projects

100-pandas-puzzles icon 100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

30-days-of-javascript icon 30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

acorn icon acorn

A simple application deployment framework for Kubernetes

act icon act

Run your GitHub Actions locally 🚀

add-copyright icon add-copyright

This is a Script to Automate adding the Copyright text to one or more source files Recursively.

age icon age

A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.

aiortc icon aiortc

WebRTC and ORTC implementation for Python using asyncio

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

allstar icon allstar

GitHub App to set and enforce security policies

analog icon analog

The fullstack Angular meta-framework

anomalydetection icon anomalydetection

This repository is part of an article about how to forecast and detect anomalies on time-series data. The main objective is to train a RNN regressor on the Bitcoin dataset to predict future values on then detect anomalies in the whole data window - that last step achieved by implementing a RNN Autoencoder. You'll see some other models in the notebooks that I've provided to you in case they are of your interest and this RNN regressor + RNN Autoencoder doesn't perform well for your purpose in any other scenario. The dataset used is available at https://www.kaggle.com/mczielinski/bitcoin-historical-data and contains BITCOIN/USD 1-minute candle data, from 2012-01-01 to 2020-12-31. I hope you can get advantage of this approach!

apkleaks icon apkleaks

Scanning APK file for URIs, endpoints & secrets.

apprise icon apprise

Apprise - Push Notifications that work with just about every platform!

appsmith icon appsmith

Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

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