BrunoCavagnaro
Newbie in Data Science, but really intereset in continue growing. I invite you to see my code, I will love your feedback.
BrunoCavagnaro's Stars
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
usc-isi-i2/kgtk-notebooks
Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)
cresset-template/cresset
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
google-research/scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
google/flax
Flax is a neural network library for JAX that is designed for flexibility.
cvxgrp/cvxpylayers
Differentiable convex optimization layers
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
safreita1/TIGER
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
gaogaotiantian/viztracer
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
google-deepmind/alphafold
Open source code for AlphaFold 2.
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
nalexai/hyperlib
Library that contains implementations of machine learning components in the hyperbolic space
n2cholas/jax-resnet
Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
microsoft/SynapseML
Simple and Distributed Machine Learning
cdpierse/transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
lucidrains/tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
nd7141/bgnn
CamDavidsonPilon/lifetimes
Lifetime value in Python
bmolab/masked-gan-manifold
A mask-guided method for control over localized regions in StyleGAN2 images.
JohnSnowLabs/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
jundeli/quantum-gan
PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
lucidrains/DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful