JanLeyva

JanLeyva's Stars

• IvanDrokin/torch-conv-kan

  This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

  Language:Python40931

• PacktPublishing/LLM-Engineers-Handbook

  The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

  Language:Python1.5k224

• Paulescu/ml-rest-api-caching

  How to serve ML predictions 100x faster

  Language:Python4911

• huggingface/cookbook

  Open-source AI cookbook

  Language:Jupyter Notebook1.7k237

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39k4.1k

• BartoszJarocki/cv

  Print-friendly, minimalist CV page

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• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.7k408

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python54.2k7.3k

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  11.2k728

• Stability-AI/StableLM

  StableLM: Stability AI Language Models

  Language:Jupyter Notebook15.8k1k

• philschmid/huggingface-sagemaker-workshop-series

  Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

  Language:Jupyter Notebook23456

• lucidrains/PaLM-rlhf-pytorch

  Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

  Language:Python7.7k668

• ocarreterom/ocarreterom.github.io

  My personal website

  2

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

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• rgerum/pylustrator

  Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

  Language:Python70837

• arnabbiswas1/kaggle_pipeline_tps_aug_22

  Kaggle Pipeline for tabular data competitions

  Language:Jupyter Notebook20422

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python6.9k782

• JanLeyva/approach_TFM

  Results for the multimodal model of Hateful Memes competition by Facebook AI.

  Language:Jupyter Notebook1

• brienna/twitter-helper-scripts

  Language:Python1710

• staileu/php-sdk

  The php sdk to interact with the STAIL.EU api

  Language:PHP3

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k3.7k

• JanLeyva/Portfolio

  A repository of the projects I worked on or currently working on. It is updated regularly. The projects are either written in R or Python. Most of the project are part of my academic works.

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