TakahashiKansuke

CalibTIP

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

BRECQ

Pytorch implementation of BRECQ, ICLR 2021

RX-Explorer

一款优雅的UWP文件管理器 | An elegant UWP Explorer

KD_Lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

BitSplit

BitSplit Post-trining Quantization

pycharm-guide

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

vision

Datasets, Transforms and Models specific to Computer Vision

eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ai-research

EasyQuant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

ibus-rime

ibus-rime输入法配置文件及其词典文件

embedded-ai.bench

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tflite

Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/

pytorch-to-tflite-example

Convert MobileNetV3Small defined and pre-trained in PyTorch to a TFLite quantized model

TurboTransformers

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

CVQN

The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)

models

Models and examples built with TensorFlow

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

mobilenetv3.pytorch

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext