LLM Frontend for Power Users.

Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

A Gradio web UI for Large Language Models with support for multiple inference backends.

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

Awesome-LLM: a curated list of Large Language Model

All Algorithms implemented in Python

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

🎓 Path to a free self-taught education in Computer Science!

Scalable Nearest Neighbor Algorithms for High Dimensional Data

Benchmark of Nearest Neighbor Search on High Dimensional Data

📡 Organized & Useful Resources about Deep Learning with TensorFlow

PyTorch Implementation for Deep Metric Learning Pipelines

This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.

PyTorch Implementation for Deep Metric Learning Pipelines

Online multiclass boosting algorithm that uses VFDT as weak learners

Reference implementations of MLPerf™ inference benchmarks

Collection of recent methods on (deep) neural network compression and acceleration.

"Efficient end-to-end learning for quantizable representations" accepted at ICML2018

Embedded and mobile deep learning research resources

Papers for deep neural network compression and acceleration

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Website for "Awesome Learning to Hash" https://learning2hash.github.io

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Implementation of our ECCV 2018 paper: Hashing with Binary Matrix Pursuit

Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

Deep metric learning methods implemented in Chainer