jcmc00

jcmc00's Stars

• pytorch/torchtune

  PyTorch native post-training library

  Language:Python4.5k470

• heyoeyo/muggled_sam

  Muggled SAM: Segmentation without the magic

  Language:Python868

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python18.8k1.3k

• JohnTailor/FT-Topic

  Repo for paper on Topic Modeling with Fine-tuning LLMs and Bag of Sentences

  Language:Python6

• MilaNLProc/contextualized-topic-models

  A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

  Language:Python1.2k147

• RAIVNLab/MRL

  Code repository for the paper - "Matryoshka Representation Learning"

  Language:Jupyter Notebook43822

• taisti/TASTEset

  Language:Python256

• garrrychan/recipe_recommender_system

  Recipe Recommender System

  Language:Python2311

• SylphAI-Inc/AdalFlow

  AdalFlow: The library to build & auto-optimize LLM applications.

  Language:Python2.4k215

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python20.6k1.6k

• Nota-NetsPresso/shortened-llm

  Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]

  Language:Python689

• Syhen/2nd-Place-Solution-Kaggle-Learning-Agency-Lab-Automated-Essay-Scoring-2.0

  2nd place training code for Kaggle AES2 competition.

  Language:Python112

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.8k354

• JosefAlbers/Phi-3-Vision-MLX

  Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon

  Language:Jupyter Notebook25216

• OpenGVLab/EfficientQAT

  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

  Language:Python23618

• AnswerDotAI/gpu.cpp

  A lightweight library for portable low-level GPU computation using WebGPU.

  Language:C++3.8k176

• deepset-ai/haystack

  AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python18.4k2k

• pgvector/pgvector

  Open-source vector similarity search for Postgres

  Language:C13.2k620

• EricLBuehler/xlora

  X-LoRA: Mixture of LoRA Experts

  Language:Python19310

• TUDB-Labs/mLoRA

  An Efficient "Factory" to Build Multiple LoRA Adapters

  Language:Python28653

• bfshi/scaling_on_scales

  When do we not need larger vision models?

  Language:Python34811

• kyegomez/qformer

  Implementation of Qformer from BLIP2 in Zeta Lego blocks.

  Language:Python31

• Thartvigsen/GRACE

  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

  Language:Python709

• axolotl-ai-cloud/axolotl

  Go ahead and axolotl questions

  Language:Python8.2k898

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.9k2.8k

• jiaweizzhao/GaLore

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

  Language:Python1.5k154

• Undi95/LLM-SLERP-MergeTest

  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.

  Language:Jupyter Notebook8

• DocShotgun/LLM-notebooks

  Jupyter notebooks for cloud-based usage

  Language:Jupyter Notebook103

• SakanaAI/evolutionary-model-merge

  Official repository of Evolutionary Optimization of Model Merging Recipes

  Language:Python1.2k94

• Vahe1994/AQLM

  Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression https://arxiv.org/abs/2405.14852

  Language:Python1.2k181