xavierkamp's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
keras-team/keras
Deep Learning for humans
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
stanfordnlp/CoreNLP
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
tidyverse/ggplot2
An implementation of the Grammar of Graphics in R
facebookresearch/pytext
A natural language modeling framework based on PyTorch
rstudio/shiny
Easy interactive web applications with R
tidyverse/dplyr
dplyr: A grammar of data manipulation
alibaba/Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
plotly/plotly.R
An interactive graphing library for R
dipanjanS/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
icoxfog417/awesome-text-summarization
The guide to tackle with the Text Summarization
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
BMW-InnovationLab/BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
sparklyr/sparklyr
R interface for Apache Spark
nredell/forecastML
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms