A benchmark for LLMs on complicated tasks in the terminal

Open-source framework for the research and development of foundation models.

Official style files for papers submitted to venues of the Association for Computational Linguistics

Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models)

Source code and jar files for Billera-Holmes-Vogtmann (BHV) treespace computations

The Jekyll Butler. A no frills responsive Jekyll blog theme.

The main repository for the Kannada MNIST dataset

A simple way to calibrate your neural network.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

95.47% on CIFAR10 with PyTorch

PyTorch implementation of char-rnn (character-level language model)

Some basic lab tips and tricks

Pytorch implementation of β-VAE

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

UCSD Networked Services, Homework 2 Spring 2018

[Fork-n-Go] A simple personal page. Demo:

Enso Analytics is a self-service data prep and analysis platform designed for data teams.

A scikit-learn compatible neural network library that wraps PyTorch

Clockwork RNN in TensorFlow

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Project folder structure for doing and sharing deep learning work.

A simple, fixed sidebar two columns Gatsby.js blog starter.

A machine learning package built for humans.

Deconvnet example based on Keras

Over 400 software engineering companies that are easy to apply to