alan-ai-learner

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2015lab1

Admissionpredictor

alankar-maths-garden

BackgroundMattingV2

Real-Time High-Resolution Background Matting

fairseq

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

long-text-token-classification

StreamlitAppAdmissionPredictor

StreamlitFaceMaskClassifier

tableQA

AI Tool for querying natural language on tabular data.

alan-ai-learner/Admissionpredictor

alan-ai-learner/StreamlitFaceMaskClassifier

alan-ai-learner/StreamlitAppAdmissionPredictor

alan-ai-learner/aiavatar

alan-ai-learner/AIOps-mlflow-pytorch-multistep-workflow

AIOps-mlflow-pytorch-multistep-workflow

alan-ai-learner/alan-ai-learner

alan-ai-learner/babyagi

alan-ai-learner/BLOOM_Examples

Some quick BLOOM LLM examples

alan-ai-learner/Boosting-Algorithms-in-ML

alan-ai-learner/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.

alan-ai-learner/DIS

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

alan-ai-learner/fastbook

The fastai book, published as Jupyter Notebooks

alan-ai-learner/gpt4all

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

alan-ai-learner/housing_prediciton

Welcome to Machine Learning Housing Corporation! The first task you are asked to perform is to build a model of housing prices in California using the California cen‐ sus data. This data has metrics such as the population, median income, median hous‐ ing price, and so on for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people). We will just call them “dis‐ tricts” for short. Your model should learn from this data and be able to predict the median housing price in any district, given all the other metrics.

alan-ai-learner/Kaggle-Otto-Comp

I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU

alan-ai-learner/mlflow-01

alan-ai-learner/mlflow-02

alan-ai-learner/MLflow-project-template

mlflow-project-template

alan-ai-learner/Mlops-Sagemaker-integration

alan-ai-learner/nn-zero-to-hero

Neural Networks: Zero to Hero

alan-ai-learner/online-cv

A minimal Jekyll Theme to host your resume (CV)

alan-ai-learner/OPT-by-Meta

This is the model opensourced by Meta which is 175B parameters silmilar to gpt3

alan-ai-learner/SCM4LLMs

alan-ai-learner/snorkel

A system for quickly generating training data with weak supervision

alan-ai-learner/srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

alan-ai-learner/text2sql-lgesql

This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

alan-ai-learner/txtai

💡 Build AI-powered semantic search applications

alan-ai-learner/vector_summarization

alan-ai-learner/whisper-playground

Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

alan-ai-learner/Whisper-with-diarization