luca-mastrostefano

luca-mastrostefano's Stars

• lucasmaystre/choix

  Inference algorithms for models based on Luce's choice axiom

  Language:Jupyter Notebook15827

• spotify/voyager

  🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

  Language:C++1.3k52

• google/graph-mining

  Language:C++56720

• amazon-science/mm-cot

  Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

  Language:Python3.8k309

• signalapp/libsignal

  Home to the Signal Protocol as well as other cryptographic primitives which make Signal possible.

  Language:Rust3.5k410

• paolotamag/KNIME-Extension-Example

  This git repository is used to share the code used in the example to create KNIME nodes in Python for KNIME Blog.

  Language:Jupyter Notebook61

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook7.9k2.8k

• huggingface/transformers

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

  Language:Python133k26.5k

• oseiskar/corona-sniffer

  Contact Tracing BLE sniffer PoC

  Language:Java797

• kmundnic/ICASSP2019

  Code and data accompanying the paper "Bluetooth based indoor localization using Triplet Embeddings"

  Language:Julia5

• tlkh/ai-lab

  All-in-one AI container for rapid prototyping

  Language:JavaScript43465

• codeforequity-at/botium-speech-processing

  Botium Speech Processing

  Language:JavaScript94658

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.6k1k

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.8k1.4k

• BenjiKCF/Neural-Net-with-Financial-Time-Series-Data

  This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

  Language:Jupyter Notebook753312

• fogleman/primitive

  Reproducing images with geometric primitives.

  Language:Go12.7k617

• higgsfield-ai/higgsfield

  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  Language:Jupyter Notebook3.3k554

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.2k1.2k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML25.9k4.7k

• babylonhealth/fastText_multilingual

  Multilingual word vectors in 78 languages

  Language:Jupyter Notebook1.2k122

• modernmt/modernmt

  Neural Adaptive Machine Translation that adapts to context and learns from corrections.

  Language:Java33970

• yuku/textcomplete

  Autocomplete for HTMLTextAreaElement and more.

  Language:TypeScript1.7k305

• ElasticHQ/elasticsearch-HQ

  Monitoring and Management Web Application for ElasticSearch instances and clusters.

  Language:JavaScript5k531

• matecat/MateCat

  MateCat is an AI driven translation tool for language industry professionals. Matecat makes machine translation post-editing and project outsourcing easy.

  Language:PHP378176