transformer

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Here are 2,790 public repositories matching this topic...

huggingface / transformers

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

Updated May 2, 2023
Python

open-mmlab / mmdetection

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OpenMMLab Detection Toolbox and Benchmark

pytorch fast-rcnn transformer yolo ssd faster-rcnn object-detection instance-segmentation mask-rcnn retinanet semisupervised-learning panoptic-segmentation cascade-rcnn detr vision-transformer swin-transformer convnext rtmdet

Updated Apr 30, 2023
Python

labmlai / annotated_deep_learning_paper_implementations

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🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers

Updated Apr 2, 2023
Jupyter Notebook

ggerganov / whisper.cpp

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Port of OpenAI's Whisper model in C/C++

inference transformer speech-recognition openai speech-to-text whisper

Updated May 2, 2023
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ml-tooling / best-of-ml-python

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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

python nlp data-science machine-learning deep-learning tensorflow scikit-learn keras ml data-visualization pytorch transformer data-analysis gpt automl jax data-visualizations gpt-3 chatgpt

Updated Apr 27, 2023

graykode / nlp-tutorial

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Natural Language Processing Tutorial for Deep Learning Researchers

nlp natural-language-processing tutorial tensorflow paper pytorch transformer attention bert

Updated Apr 10, 2023
Jupyter Notebook

cfug / dio

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A powerful HTTP client for Dart and Flutter, which supports global settings, Interceptors, FormData, aborting and canceling a request, files uploading and downloading, requests timeout, custom adapters, etc.

dart http adapter network timeout transformer interceptor flutter dio cancellable

Updated May 1, 2023
Dart

amusi / CVPR2023-Papers-with-Code

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CVPR 2023 论文和开源项目合集

python machine-learning computer-vision deep-learning paper image-processing transformers transformer object-detection image-segmentation visual-tracking semantic-segmentation cvpr cvpr2020 cvpr2021 cvpr2022 cvpr2023

Updated Apr 13, 2023

datawhalechina / leedl-tutorial

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《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

machine-learning reinforcement-learning deep-learning cnn transformer gan rnn pruning self-attention leedl-tutorial

Updated Apr 19, 2023
Jupyter Notebook

google / trax

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Trax — Deep Learning with Clear Code and Speed

machine-learning reinforcement-learning deep-learning numpy deep-reinforcement-learning transformer jax

Updated Mar 29, 2023
Python

PaddlePaddle / PaddleSpeech

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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Updated Apr 28, 2023
Python

PaddlePaddle / PaddleSeg

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Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

transformer image-segmentation autonomous-driving lane-detection semantic-segmentation video-segmentation image-matting medical-image-segmentation interactive-segmentation panoptic-segmentation human-segmentation

Updated Apr 30, 2023
Python

Morizeyao / GPT2-Chinese

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Chinese version of GPT2 training code, using BERT tokenizer.

nlp text-generation transformer chinese gpt-2

Updated Apr 27, 2023
Python

openai / jukebox

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Code for the paper "Jukebox: A Generative Model for Music"

audio music paper pytorch transformer generative-model vq-vae

Updated Apr 2, 2023
Python

BlinkDL / RWKV-LM

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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.