CNNGestureRecognizer
d2l-en
| CNNGestureRecognizer | d2l-en | |
|---|---|---|
| 1 | 6 | |
| 953 | 21,759 | |
| - | 1.6% | |
| 0.0 | 8.5 | |
| about 1 year ago | 13 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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CNNGestureRecognizer
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Computer Science Engineering marks matter avutunda?
i dont wanna discourge but to be honest ave projects anaru tutorials antaru theyre like tutorials codes which beginners does . niku nijanga interest unte python you will get to learn about computer vision , data science etc related stuff where python is mostly used and it has much support for libraries . bro frank ga cheptuna no one cares or give a shit about marks , gpa . niku interest undali thats it ade unte last ki nuve achieve avutav . and python lo denini projects kinda consider chestaru ante https://github.com/asingh33/CNNGestureRecognizer , https://github.com/tomguluson92/StyleGAN_PyTorch elantivi . nenu suggest chesidi enti ante nuvu aa tutorial hell nundi baitiki vochi own ga try cheyu and think of where python is how its used . i will link a few channels which you can find them interesting and useful for your interests https://www.youtube.com/c/K%C3%A1rolyZsolnai , https://www.youtube.com/user/Zan560 , https://www.youtube.com/channel/UC4UJ26WkceqONNF5S26OiVw . best of luck
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?
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
keras-rl - Deep Reinforcement Learning for Keras.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
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.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
ssd_keras - A Keras port of Single Shot MultiBox Detector