Highlights
- Pro
Block or Report
Block or report yixinwang
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (1)
Sort Name ascending (A-Z)
Stars
Language
Sort by: Recently starred
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Simple repo demonstrating Latent Space Activation
Simple command to backup a Notion workspace
Guide and Samples to setting up a IPv6-routed OpenVPN server
Probabilistic Principal Component Analysis
Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)
Solving the causality pairs challenge (does A cause B) with ChatGPT
AIS is an evaluation framework for assessing whether the output of natural language models only contains information about the external world that is verifiable in source documents, or "Attributabl…
Remove problematic gender bias from word embeddings.
Workshop series on probabilistic programming targeted for neuroscientists
Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
Stable Diffusion in TensorFlow / Keras
A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
Statistical Rethinking course and book package
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials
Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine