Pinned Repositories
arduino_trash_classification
Arduino TinyML trash classification example
armnn-pi
armnn compiled for raspberry pi 2 model B v1.1
arxivQA_script
Script for taesiri/ArXivQA
diffq
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
fuzzy-anonymize-dns
PoC for fuzzy anonymize DNS
Imagenet32_Scripts
Scripts for Imagenet 32 dataset
keras-shufflenet-v2
keras shufflenet v2 from opconty/keras-shufflenetV2, resized to 64x64
kernel_exp_family
Various estimators of the infinite dimensional exponential family model
simulate_int8_bnn
yolov5_nipq_practice
lightb0x's Repositories
lightb0x/arduino_trash_classification
Arduino TinyML trash classification example
lightb0x/arxivQA_script
Script for taesiri/ArXivQA
lightb0x/simulate_int8_bnn
lightb0x/yolov5_nipq_practice
lightb0x/armnn-pi
armnn compiled for raspberry pi 2 model B v1.1
lightb0x/diffq
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
lightb0x/fuzzy-anonymize-dns
PoC for fuzzy anonymize DNS
lightb0x/Imagenet32_Scripts
Scripts for Imagenet 32 dataset
lightb0x/keras-shufflenet-v2
keras shufflenet v2 from opconty/keras-shufflenetV2, resized to 64x64
lightb0x/kernel_exp_family
Various estimators of the infinite dimensional exponential family model
lightb0x/lightb0x.github.io
lightb0x/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
lightb0x/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
lightb0x/resized_trashnet
trashnet resized to [64x64|96x96] [rgb|grayscale]
lightb0x/kernel_hmc
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
lightb0x/Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
lightb0x/pybo
Python package for modular Bayesian optimization
lightb0x/reggie
Bayesian regression
lightb0x/tensorflow-pi
lightb0x/tinyml-project
lightb0x/triton
Development repository for the Triton language and compiler