nobuco
d2l-en
| nobuco | d2l-en | |
|---|---|---|
| 1 | 6 | |
| 192 | 21,759 | |
| - | 1.6% | |
| 8.7 | 8.5 | |
| 16 days ago | 18 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nobuco
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Introducing Nobuco: PyTorch to Tensorflow converter. Intuitive, flexible, efficient.
Hence, [Nobuco](https://github.com/AlexanderLutsenko/nobuco). It's designed with simplicity and hackability in mind and automatically solves mismatching channel orders offering near-optimal performance. Try it, and spread the word if you like it. If not, feel free to open an issue or feature request. Any forms of contribution are highly welcome!
d2l-en
- which book to chose for deep learning :lan Goodfellow or francois chollet
- d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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How to pre-train BERT on different objective tasks using HuggingFace
There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you
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The Transformer in Machine Translation
GitHub's article on Dive into Deep Learning
- D2l-En
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I created a way to learn machine learning through Jupyter
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
What are some alternatives?
exporters - Export Hugging Face models to Core ML and TensorFlow Lite
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
ftc_ladel - A TFLite+YoloV7 enabled labeling and training pipeline
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
nsfw-classification-tensorflow - NSFW classify model implemented with tensorflow.
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.