fr30

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

RouteLLM

A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!

llama3

The official Meta Llama 3 GitHub site

NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

ATLAS

A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

bert.cpp

ggml implementation of BERT

llama.cpp

LLM inference in C/C++

llm.c

LLM training in simple, raw C/CUDA

drawio-desktop

Official electron build of draw.io

langtorch

Building LLM apps with Text Tensors using PyTorch concepts and text gradients

DeepMReye

Main model and preprocessing code

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

LLaMA-Factory

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

nanoT5

Fast & Simple repository for pre-training and fine-tuning T5-style models

author-explorer

An exploration of a few AI authors and the data Semantic Scholar has about their citations.

ml4graphs

Educational material for the MSc AI course 'Machine Learning for Graphs'

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

ML4GS

Workspace used for the course Machine Learning for Graphs and Sequential Data

grapes

Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".

mamba

Mamba SSM architecture

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

deer

DEEp Reinforcement learning framework

evoman_framework

tf_seq2seq_losses

TensorFlow implementations of losses for sequence to sequence machine learning models

influence-release