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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Public facing notes page
Notebooks and code for the book "Introduction to Machine Learning with Python"
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
COCO API - Dataset @ http://cocodataset.org/
An annotated implementation of the Transformer paper.
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Efficient Image Captioning code in Torch, runs on GPU
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
The 3rd edition of course.fast.ai
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Single Shot MultiBox Detector in TensorFlow
line drawing colorization using chainer
Homepage for STAT 157 at UC Berkeley
Lectures on scientific computing with python, as IPython notebooks.