geofferyzhong Goto Github PK

alphafold

Open source code for AlphaFold.

autoxgb

XGBoost + Optuna

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bhm-at-scale

🪜 Bayesian Hierarchical Models at Scale

bitsandbytes

Library for 8-bit optimizers and quantization routines.

code_snippets

custom_data_generator

This repository is about how you can create your custom data generator/data loader to train your neural network

cxv

Convolutional Xformers for Vision

data-analysis

python data analysis and visualization

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

data-visualization-with-python

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

data_visualization

A collection of my data visualizations, mostly in Python.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-biology

A list of deep learning implementations in biology

dm-haiku

JAX-based neural network library

earth-forecasting-transformer

Official implementation of Earthformer

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

flax

Flax is a neural network library for JAX that is designed for flexibility.

gdl_tutorials

Jupyter Notebook Tutorials in Geometric Deep Learning Course

genomic_prediction

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning JAX.

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

graph-convolutional-networks-with-cora-dataset

Graph neural networks (GNNs) is implemented with Cora datset using Spektral module.

interpretable-ml-book

Book about interpretable machine learning

interview

Resources to crack the next coding interview

jax-examples

A set of of fundamental operations and deep learning models using JAX

keras_imagenet

Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch

machinelearning

Machine learning for beginner(Data Science enthusiast)