krishnatejakk Goto Github PK

advancedoptml

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

alignllmhumansurvey

Aligning Large Language Models with Human: A Survey

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

autograd-hacks

automata

automata-1

AUTOMATA is a Gradient Based Data Subset Selection approach for Compute-Efficient Hyper-parameter Tuning. This repository incorporates various existing subset selection strategies for efficient hyper-parameter tuning.

autotext

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

awesome-pruning

A curated list of neural network pruning resources.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

cords

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

dage

Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

data-juicer

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据！

data-structures-and-algorithms-notes

It contains all the data structures and computer fundamentals notes I made while preparing for placements.

dataset-distillation

Dataset Distillation

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

distil

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

doremi

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

efficient-dataset-condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

efficientfixmatch

efficientlmpretraining

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

fast_imagenet_ffcv

Fast ImageNet training code with FFCV

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

frepo

Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

gradmatch

GradMatch

icl-selective-annotation

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

its-time-to-focus

It's Time To Focus is a website made for people who want to be productive throughout their day

jensen

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)