Erebyel

Erebyel's Stars

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.3k2.3k

• JohnSnowLabs/spark-nlp

  State of the Art Natural Language Processing

  Language:Scala3.8k711

• RasaHQ/financial-demo

  A demo for a financial services bot

  Language:Python309397

• PlanTL-GOB-ES/lm-spanish

  Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

  Language:Python25221

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22k2.9k

• somosnlp/nlp-de-cero-a-cien

  Curso práctico: NLP de cero a cien 🤗

  Language:Jupyter Notebook18189

• huggingface/transformers

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

  Language:Python134k26.7k

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python6.9k999

• EleutherAI/gpt-neo

  An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

  Language:Python8.2k945

• kingoflolz/mesh-transformer-jax

  Model parallel transformers in JAX and Haiku

  Language:Python6.3k892

• thunil/TecoGAN

  This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

  Language:Python6k1.1k

• sdv-dev/CTGAN

  Conditional GAN for generating synthetic tabular data.

  Language:Python1.3k284

• google/oboe

  Oboe is a C++ library that makes it easy to build high-performance audio apps on Android.

  Language:C++3.7k565

• apache/incubator-marvin

  Apache Marvin-AI

  Language:Jupyter Notebook10135

• google-research/recsim_ng

  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

  Language:Jupyter Notebook11616

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.7k8.4k

• fastai/course20

  Deep Learning for Coders, 2020, the website

  Language:Jupyter Notebook842305

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.7k331

• microsoft/huggingface-transformers

  🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

  Language:Python289

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k918

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19k3.1k

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.5k1.2k

• openai/sparse_attention

  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

  Language:Python1.5k192

• openai/gpt-3

  GPT-3: Language Models are Few-Shot Learners

  15.7k2.3k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.4k5.5k

• NVIDIA/OpenSeq2Seq

  Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

  Language:Python1.5k369

• NVIDIA/semantic-segmentation

  Nvidia Semantic Segmentation monorepo

  Language:Python1.8k387

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++5.8k889

• NVIDIA/data-science-stack

  NVIDIA Data Science stack tools

  Language:Shell37856

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.4k3.2k