Popular GitHub Repositories for 16 Bit

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

oneAPI Deep Neural Network Library (oneDNN)

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

A list of StableDiffusion styles and some notes for offline use. Pure HTML, CSS and a bit of JS.

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

? Difficult algorithm, Simple code.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

food image to recipe with deep convolutional neural networks.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.