Veena (veenaramesh)

veenaramesh

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Company:Lovelytics

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Veena's starred repositories

HelloSilicon

An introduction to ARM64 assembly on Apple Silicon Macs

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awsome-distributed-training

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

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dspy

DSPy: The framework for programming—not prompting—foundation models

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spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

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easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

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tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

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mlx

MLX: An array framework for Apple silicon

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prefect

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

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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ucx

Your best companion for upgrading to Unity Catalog. UCX will guide you, the Databricks customer, through the process of upgrading your account, groups, workspaces, jobs etc. to Unity Catalog.

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llm-foundry

LLM training code for Databricks foundation models

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ML-Papers-Explained

Explanation to key concepts in ML

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tedivms-flask

Flask starter app with celery, bootstrap, and docker environment

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lens

This is the official repository for the LENS (Large Language Models Enhanced to See) system.

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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.

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unify-emotion-datasets

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

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awesome-sentiment-analysis

Reading list for Awesome Sentiment Analysis papers

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tracker-radar

Data set of top third party web domains with rich metadata about them

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TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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Poker

Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:

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AIND-NLP

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

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aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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quick-SQL-cheatsheet

A quick reminder of all SQL queries and examples on how to use them.

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Python

All Algorithms implemented in Python

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developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

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