Name: John Dagdelen
Type: User
Company: Univerity of California, Berkeley
Bio: NLP, machine learning, and high-performance computing. PhD from UC Berkeley in computational materials science. Prev research intern at Google Brain.
Twitter: jmdagdelen
Location: Berkeley, CA
Blog: jdagdelen.github.io
John Dagdelen's Projects
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
A2C2 (Advantage Actor Critic Crowd) is a modified version of the A2C RL algorithm for solving large problems by learning strategies for small problems.
Code and exercises from the ANSI C book.
Apps hosted in the Dash Gallery
Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.
atomate is a powerful software for computational materials science and contains pre-built workflows.
Stable Diffusion base with multiple models, pipelines & schedulers, for Banana
EBook Management
CA-GAN: Composition-Aided GANs
Cayman is a Jekyll theme for GitHub Pages
A large-scale face dataset for face parsing, recognition, generation and editing.
ChatGPT clone using openAI API
Automatically extract chemical information from scientific documents
A python program for GPT4 to play chess against an AI in the terminal.
Easily compute clip embeddings and build a clip retrieval system with them
{ Computational Materials at Berkeley } website code
data mining for Materials Science
Personal webspace.
A dash component starter pack :stars:
React-Autosuggest for Plotly Dash with Elasticsearch integration.
Example datasets for DeepPoseKit
Tools for generating expressive performances with AI voice synthesis models
Reddit / Hacker News clone for Mezzanine
A Python module for use with Elsevier's APIs: Scopus, ScienceDirect, others.
Library for fast text representation and classification.
Gradient Boosting Machine-Locfit: A GBM framework using local regresssion via Locfit.