krishnad Goto Github PK

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krishnad's Projects

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

lectures

Oxford Deep NLP 2017 course

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

macos-security-and-privacy-guide

A practical guide to securing macOS.

netron

Visualizer for deep learning and machine learning models

nimbus

The iOS framework that grows only as fast as its documentation

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

pdftilecut

pdftilecut lets you sub-divide a PDF page(s) into smaller pages so you can print them on small form printers.

pegjs

PEG.js: Parser generator for JavaScript

penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

protobuf

Protocol Buffers - Google's data interchange format

pykan

Kolmogorov Arnold Networks

refindplus

A variant of the rEFInd boot manager

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.