Kevin Tran's repositories
free-books
互联网上的免费书籍
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
academic_advisory
Collected opinions and advice for academic programs focused on data science skills.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
awesome-aws-amplify
Curated list of AWS Amplify Resources
awesome-chatgpt
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
awesome-chatgpt-Kamigami55
Curated list of ChatGPT related resource, tools, prompts, apps / ChatGPT 相關優質資源、工具、應用的精選清單。
awesome-community-detection
A curated list of community detection research papers with implementations.
awesome-gpt3
Curating the best GPT3 tools and resources
awesome-hacking-1
A curated list of awesome Hacking tutorials, tools and resources
awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
AzureSynapseEndToEndDemo
This repository provides one-click infrastructure and artifact deployment for Azure Synapse Analytics to get you started with Big Data Analytics on a large sized Health Care sample data. You will learn how to ingest, process and serve large volumes of data using various components of Synapse.
chatbot-retrieval
Dual LSTM Encoder for Dialog Response Generation
conference-data
Conference data for www.confs.tech
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
d2l-tvm
Dive into Deep Learning Compiler
dabl
Data Analysis Baseline Library
DeepLearningExamples
Deep Learning Examples
eks-workshop
AWS Workshop for Learning EKS
ignite-learning-paths-training-aiml
Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
rethinking
Statistical Rethinking course and book package
rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
terraform-azurerm-caf
Terraform supermodule for the Terraform platform engineering for Azure