Popular GitHub Repositories for Bit Wise

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.

A curated list of 120+ LLM libraries category wise.

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

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

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

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

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

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Pixel-wise segmentation on VOC2012 dataset using pytorch.

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch

An innovative library for efficient LLM inference via low-bit quantization

[ICCV'21] EigenGAN: Layer-Wise Eigen-Learning for GANs