Miguel Meza (mimezas)

mimezas

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Location:México City

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Miguel Meza's starred repositories

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

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papers-we-love

Papers from the computer science community to read and discuss.

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the-book-of-secret-knowledge

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

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awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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DSA-Bootcamp-Java

This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.

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interviews

Everything you need to know to get the job.

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helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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lm-spanish

Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

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notebooks

Notebooks using the Hugging Face libraries 🤗

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optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

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accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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huggingface_hub

The official Python client for the Huggingface Hub.

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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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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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whoosh

Pure-Python full-text search library

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pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

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awesome-huggingface

🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.

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DataScienceProjects

Hye.!!! Hope you all are doing well.. Here you will find amazing data science projects that will boost-up your knowledge and level of interest.

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Awesome-Machine-Learning-Models

Contribute your amazing Machine Learning, Data Science, and Deep Learning repository

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Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

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dspy

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

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alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

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text-generation-webui-colab

A colab gradio web UI for running Large Language Models

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azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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