mimicheng Goto Github PK

alignment-handbook

Robust recipes for to align language models with human and AI preferences

autopilot

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

card-segmentation

The repository contains a U-Net model for semantic segmentation of the documents using pytorch lightning.

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

data_structures_and_algorithms

Code snippets and exercises from Data Structures and Algorithms in Python by M. Goodrich

docker_face_detect

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

generate-my-face

ift6758-data-science

java-data-structure

My journey of having fun with Java data structure

kaggle-protein-image-classification

This is the solution for Kaggle human protein classification competition.

kaggle-social-media-prediction

This repository contains the solution for social media prediction based on user profiles and user interactions.

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

lda-topic-modeling-gensim

Predict shop categories by Topic modeling with latent Dirichlet allocation and gensim

midv-500-models

Model for document segmentation trained on the midv-500-models dataset.

mimicheng.github.io

My portfolio

music-recommender-with-rnn

Deep learning music recommendation with Keras

nyc_taxi_duration

Build a model that predicts the total ride duration of taxi trips in New York City.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

quantitative-big-imaging-2018

The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

reading-papers

papers I like (upload for future references)

recommendation-algorithms

Source code for Twitter's Recommendation Algorithm

speech_emotion_classification

A LSTM model classifying the emotion of speaker while speaking.

statistics-with-python-specialization

unet_segmentation

Train Unet-segmentation on LUNA16 dataset