sourav-roni

BCR-DE

Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23

Compilers

This repository contains code for a Tiny C Compiler

100-Days-Of-ML-Code

100 Days of ML Coding

Autoware

Open-source software for urban self-driving mobility

bash

A Linux shell

BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

bdl-benchmarks

Bayesian Deep Learning Benchmarks

binder_test

cs220-projects

CS220 projects and tests

cs301-projects

Location for CS301 Project Scaffolding and Tests

DC3_binder

DC3_CS765

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

group_DRO

Distributionally robust neural networks for group shifts

image-processing

Salient Object Segmentation

Math714_Homework2

Code for Math714 Homework2

Math714_HW4

Math_714_Homework1

multiphenotype_methods

Methods for inferring low-dimensional representations of high-dimensional phenotype spaces.

multiplicative-filter-networks

Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.

pintos1

Scheduler and Memory Allocation

pintos2

Signal Handling

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

waymo-open-dataset

Waymo Open Dataset

website

worksheets-examples

Examples and tutorials for CodaLab Worksheets.