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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Step by step explanation/tutorial of llama2.c
Search for words, documents, images, videos, news, maps and text translation using the DuckDuckGo.com search engine. Downloading files and images to a local hard drive.
Machine Learning Engineering Open Book
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
A collection of design patterns/idioms in Python
A deep learning library for video understanding research.
fastaidocsprint / fastai
Forked from fastai/fastaiDocumentation Sprint for the fastai deep learning library
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Example notebooks of tslab (https://github.com/yunabe/tslab)
IceData: Datasets Hub for the *IceVision* Framework
AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
A Jupyter extensions that turns notebooks into web applications.
Some experiments with object detection in PyTorch
scripts for installing openvino and exporting networks from fast.ai
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015
Build your neural network easy and fast, 莫烦Python中文教学
My implementation of Decision Tree ID3 algorithm for all categorical attributes.