Thiagohgl

Thiagohgl's Stars

• microsoft/markitdown

  Python tool for converting files and office documents to Markdown.

  Language:Python40.6k1362061.9k

• run-llama/llama_index

  LlamaIndex is the leading framework for building LLM-powered agents over your data.

  Language:Python40.2k2636k5.7k

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.8k421281.8k

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook10k96423907

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.3k50555435

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.6k265521.2k

• olilarkin/awesome-musicdsp

  A curated list of my favourite music DSP and audio programming resources

  2.7k123087

• facebookresearch/flow_matching

  A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

  Language:Python2.2k2729110

• haoheliu/versatile_audio_super_resolution

  Versatile audio super resolution (any -> 48kHz) with AudioSR.

  Language:Python1.4k3262144

• aigamedev/scikit-neuralnetwork

  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

  Language:Python1.2k74173219

• google-deepmind/neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

  Language:Jupyter Notebook993429150

• ntucllab/libact

  Pool-based active learning in Python

  Language:Python78058100173

• facebookresearch/AudioMAE

  This repo hosts the code and models of "Masked Autoencoders that Listen".

  Language:Python574313147

• ironjr/grokfast

  Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

  Language:Python551151146

• microsoft/BiomedParse

  BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

  Language:Jupyter Notebook43484547

• peter-ch/MultiNEAT

  Portable NeuroEvolution Library

  Language:C++3293346104

• Wramberg/adaptfilt

  Adaptive filtering module for Python

  Language:Python11011535

• lucidrains/grokfast-pytorch

  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"

  Language:Python98347

• fschmid56/PretrainedSED

  Language:Python35252