Buffoni

Buffoni's Stars

• feder-cr/Auto_Jobs_Applier_AIHawk

  Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.

  Language:Python21.4k3.1k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.7k1.1k

• kyegomez/BitNet

  Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

  Language:Python1.7k153

• Buffoni/spectral_learning

  Learning in spectral network space

  Language:Python113

• Buffoni/SQWalk

  A simple quantum walk simulator in python

  Language:Python122

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.1k5.9k

• Jamba15/SpectralTools

  Spectral analysis and training of dense layers

  Language:Python141

• JaimePSantos/QWAK

  Continuous-time quantum walk Python package and GUI

  Language:Jupyter Notebook51

• iarai/science4cast

  Details for the Science4Cast competition

  Language:Jupyter Notebook6210

• tjvandal/unsupervised-spectral-synthesis

  Implementation of Spectral Synthesis for Satellite-to-Satellite Translation on GOES-16/17 and Himawari-8

  Language:Python71

• ml4physicalsciences/ml4physicalsciences.github.io

  Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference

  Language:HTML196

• M2Lschool/tutorials2021

  Mediterranean Machine Learning school tutorials

  Language:Jupyter Notebook9337

• NVlabs/NVAE

  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

  Language:Python1k164

• broadinstitute/Tangram

  Spatial alignment of single cell transcriptomic data.

  Language:Jupyter Notebook25451

• vsitzmann/siren

  Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

  Language:Python1.8k247

• ImagingLab/ICIAR2018

  Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

  Language:Python20377

• cyrildiagne/ar-cutpaste

  Cut and paste your surroundings using AR

  Language:TypeScript14.6k2.1k

• pcm-dpc/COVID-19

  COVID-19 Italia - Monitoraggio situazione

  3.9k2.2k

• davidtellez/contrastive-predictive-coding

  Keras implementation of Representation Learning with Contrastive Predictive Coding

  Language:Python525120