chrisw09 Goto Github PK

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abscoc_smvlda

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

awesome-mlops

A curated list of references for MLOps

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

bertopic

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

bikeshare_analysis

biketrainr

book-data-analysis

chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

citi_bike_user_prediction

The Objective of this project is to predict the usertype (Customer = 24-hour pass or 3-day pass user; Subscriber = Annual Member) based on trip duration.

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

determined

Determined: Deep Learning Training Platform

ds3_r_intro

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastbook

The fastai book, published as Jupyter Notebooks

gam-resources

gensim

Topic Modelling for Humans

german-sentiment-lib

An easy to use python package for deep learning-based german sentiment classification.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gpm

great_expectations

Always know what to expect from your data.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras-nlp

Industry-strength Natural Language Processing workflows with Keras

langchain-tutorials

A set of LangChain Tutorials from my youtube channel

llm-tutorials

A set of LLM Tutorials from my youtube channel

machine_learning_economics

Machine Learning for Economics