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61b-data-structures

acm-recsys-challenge-2019

The goal of this challenge is to develop a session-based and context-aware recommender system using various input data to provide a list of accommodations that will match the needs of the user. In the challenge, participants will be tasked with predicting which accommodations (items) have been clicked in the search result during the last part of a user session in an offline evaluation setup.

ai-math

algorithm1-princeton

algorithms-i-percolation

awesome-deep-community-detection

Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction _or_contribution} file.

build-nanogpt

Video+code lecture on building nanoGPT from scratch

cnn_with_gabor_filters

collaborating-with-binder

copyrightly.github.io

cosi-126a-data_mining

data_incubator

east

A tensorflow implementation of EAST text detector

efficientml

Course material of MIT's EfficientML https://hanlab.mit.edu/courses/2023-fall-65940

executorch

End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

final-project

CS11a Final Project. Just a simple little game.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

javademo

lcn

AISTATS 2019: Lovász Convolutional Networks

learning-language-model

math162a_code

Brandeis Math 162a: Code Examples

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

models

Models and examples built with TensorFlow

nlp2018

nmt

TensorFlow Neural Machine Translation Tutorial

python_self_learning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

sandbox

Play time!