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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
all kinds of text classificaiton models and more with deep learning
This is my repo for the notebooks from DeepAI classes, and notes from @Wan Zhen and @TessFerrandez
Welcome to the repository showcasing examples utilizing OpenAI tools, such as GPT, assistant API (retrieval, function calling to external API). I strongly recommend running through the provided sam…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
An Introduction to Statistical Learning with Applications in PYTHON
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
Solutions of Reinforcement Learning, An Introduction
This repo contains the NB from TF in practice offered by Deeplearning.ai
All Algorithms implemented in Python
2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)
The Coursera RL series from University of Alberta - Alberta Machine Intelligence Institute.
Python Implementation of Reinforcement Learning: An Introduction
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The assignments for the Neural Networks for Machine Learning from Prof. Hinton
The algorithm uses a DAPI image the input and through image process to output several image features (cell size, cell ratio, cell orientation, oocyte size, follicle cell distribution, blob-like chr…
This is dedicated to make some contribution to fill in the gap among theorists, data analysts and general algorithm users. If you have any comments on the topics or find any mistakes, shoot me an e…