fcakir

SillyTavern

LLM Frontend for Power Users.

koboldcpp

A simple one-file way to run various GGML and GGUF models with KoboldAI's UI

text-generation-webui

A Gradio web UI for Large Language Models.

awesome-instruction-dataset

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

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

Python

All Algorithms implemented in Python

TensorRT

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

NeMo

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)

computer-science

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

SNNAHDD

Scalable Nearest Neighbor Algorithms for High Dimensional Data

nns_benchmark

Benchmark of Nearest Neighbor Search on High Dimensional Data

TensorFlow-World-Resources

:satellite: Organized & Useful Resources about Deep Learning with TensorFlow

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

inference_results_v0.5

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

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

OnlineBoostingWithVFDT

Online multiclass boosting algorithm that uses VFDT as weak learners

inference

Reference implementations of MLPerf™ inference benchmarks

compress-net-notes

Efficient-Deep-Learning

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

Deep-Hash-Table-ICML18

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

awesome-emdl

Embedded and mobile deep learning research resources

Awesome-model-compression-and-acceleration

Model-Compression-Papers

Papers for deep neural network compression and acceleration

FastAP-metric-learning

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

learning2hash.github.io

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

handong1587.github.io

deep-mihash

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

hbmp

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

TALR

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

deep_metric_learning

Deep metric learning methods implemented in Chainer