winiciuspontes's Stars
Pythagora-io/gpt-pilot
The first real AI developer
jzhang38/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
SJTU-IPADS/gnnlab
A Factored System for Sample-based GNN Training over GPUs
alibaba/GraphScope
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
yoonjong12/pinsage
pinsage for wine recommendation
mauzeh/formation-flight
A simulation framework for the application of formation flight in commercial aviation, written in Python.
AntonioLonga/PytorchGeometricTutorial
Pytorch Geometric Tutorials
logicalclocks/hopsworks-tutorials
Tutorials for the Hopsworks Platform
DrBigMau/LSTM-from-Scratch-in-Python
pariyaab/Book_recommendation
build two-tower model book recommendation system
GoloMarcos/Introduction-GNN
Esse repositorio é para o curso de difusão ofericido pelo ICMC/USP Introdução às redes neurais em grafos e suas aplicações em tarefas de aprendizado de máquina.
milvus-io/milvus-lite
A lightweight version of Milvus
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
lollodealma/ml_without_tears
Code repository of ml-without-tears blog: https://mlwithouttears.com/
justinchuby/model-explorer-onnx
ONNX Adapter for model-explorer
google-ai-edge/model-explorer
A modern model graph visualizer and debugger
recommenders-team/recommenders
Best Practices on Recommendation Systems
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
numpy/numpy
The fundamental package for scientific computing with Python.
ZPZhou-lab/tfkan
The tensorflow implementation of KANs
KindXiaoming/pykan
Kolmogorov Arnold Networks
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
KAYOKG/BibliotecaDev
📚 Biblioteca de livros essenciais da área da programação. (Confira o meu novo projeto `SendScriptWhatsapp`)
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
maenzhier/GRecX
An Efficient and Unified Benchmark for GNN-based Recommendation.
reczoo/BARS
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS