akamil-etsy

akamil-etsy's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python143k1.1k7.7k27k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.2k2262633.1k

• unslothai/unsloth

  Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python18.3k1271k1.3k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.2k1943792.2k

• GoogleCloudPlatform/generative-ai

  Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

  Language:Jupyter Notebook8k1702132.3k

• apple/corenet

  CoreNet: A library for training deep neural networks

  Language:Jupyter Notebook7k6521540

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k33441.3k

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k77962755

• facebookresearch/PyTorch-BigGraph

  Generate embeddings from large-scale graph-structured data.

  Language:Python3.4k89196449

• BaranziniLab/KG_RAG

  Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

  Language:Jupyter Notebook689162093

• vtraag/leidenalg

  Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

  Language:Python6201413878

• BaseModelAI/cleora

  Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

  Language:Jupyter Notebook488352351

• SeanLee97/AnglE

  Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

  Language:Python485104933

• RUCAIBox/LLMRank

  [ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

  Language:Python23451121

• cdalitz/hclust-cpp

  C++ fast hierarchical clustering algorithms

  Language:C++802416

• OswaldHe/HMT-pytorch

  Official Implementation of "HMT: Hierarchical Memory Transformer for Long Context Language Processing"

  Language:Python62232

• hidasib/GRU4Rec_PyTorch_Official

  Official implementation of the GRU4Rec algorithm in PyTorch

  Language:Python54203

• allenday/contextual-bandit

  working example of a contextual multi-armed bandit

  Language:Jupyter Notebook535126

• jmerullo/limber

  https://arxiv.org/abs/2209.15162

  Language:Python48142

• BaseModelAI/booking-challenge

  Language:Python418212

• mlepori1/NeuroSurgeon

  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers

  Language:Python36401

• BaseModelAI/kdd-cup-2021

  Language:Python18627

• bookingcom/ml-dataset-mdt

  Multi Destination Trips dataset for research purposes - fully anonymized, sampled, limited

  Language:Jupyter Notebook13606

• sidgairo18/unsupervised-style-learning

  This repository contains the source code, models and data files for the work titled: "Unsupervised Image Style Embeddings for Retrieval and Recognition Tasks". This was accepted at WACV 2020. The source code files, model checkpoints and data will be made available after the conference.

  Language:Python12123

• pchlenski/hyperdt

  Hyperbolic decision trees

  Language:Jupyter Notebook9101

• BaseModelAI/recsys-challenge-2021

  Language:Python7533

• BaseModelAI/EMDE

  EMDE

  Language:Jupyter Notebook61301

• mlepori1/Circuit_Probing

  Codebase for Uncovering Causal Variables in Transformers Using Circuit Probing

  Language:Jupyter Notebook4102

• bartoszpankratz/ECCD

  Embedding - Clustering Community Detection Framework

  Language:Jupyter Notebook1101

• sidgairo18/Retrieval-Using-LSH-and-KD-Tree-Plus-Feature-Visualization

  Perform retrival using LSH and KD-Tree for huge datasets and large dimensional vectors.

  Language:HTML1432