kykim0

Meta-Weight-Net_Code-Optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

nayak-aclfindings24-code

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

SuperGen

[NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

DataDreamer

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Synthesis_Step-by-Step_Official

llm-data-creation

Model, Code & Data for the EMNLP'23 paper "Making Large Language Models Better Data Creators"

dont-stop-pretraining

Code associated with the Don't Stop Pretraining ACL 2020 paper

langchain

🦜🔗 Build context-aware reasoning applications

LM-BFF

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

FewGen

[ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

SunGen

gs-quant

Python toolkit for quantitative finance

meta-pretraining

Code accompanying paper: Meta-Learning to Improve Pre-Training

modpo

[Findings of ACL'2024] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization.

uncertain_ground_truth

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

llm-swarm

Manage scalable open LLM inference endpoints in Slurm clusters

text-clustering

Easily embed, cluster and semantically label text datasets

cosmopedia

NeMo-Aligner

Scalable toolkit for efficient model alignment

LLM101n

LLM101n: Let's build a Storyteller

darts

Differentiable architecture search for convolutional and recurrent networks

oss-guideline

IITP_Guideline 1.0 For Open Source Software RnD Projects operated by yangsuplim at IITP.

rl4co

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

build-nanogpt

Video+code lecture on building nanoGPT from scratch

betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization