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[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Deepsparse ⭐ 2,729

Sparsity-aware deep learning inference runtime for CPUs

Model Optimization ⭐ 1,445

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Intel Extension For Pytorch ⭐ 1,161

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

Training_extensions ⭐ 1,119

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Rwkv.cpp ⭐ 956

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

Tinyml Papers And Projects ⭐ 566

This is a list of interesting papers and projects about TinyML.

QKeras: a quantization deep learning library for Tensorflow Keras

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

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

Onnx2tf ⭐ 461

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Minigpt4.cpp ⭐ 435

Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)

Awesome Ml Model Compression ⭐ 378

Awesome machine learning model compression research papers, tools, and learning material.

Model_optimization ⭐ 245

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

Blueoil ⭐ 243

Bring Deep Learning to small devices

Awesome Ai Infrastructures ⭐ 171

Infrastructures™ for Machine Learning Training/Inference in Production.

Great Deep Learning Tutorials ⭐ 153

A Great Collection of Deep Learning Tutorials and Repositories

Official implementation of Half-Quadratic Quantization (HQQ)

Quantization ⭐ 82

A deep dive into Apple's coremltools quantization and how to reduce the size of a Core ML model without losing accuracy and performance

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

U Net Fixed Point Quantization For Medical Image Segmentation ⭐ 62

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

Fasttext.netwrapper ⭐ 60

.NET Standard wrapper for fastText library. Now works on Windows, Linux and MacOs!

BARVINN: A Barrel RISC-V Neural Network Accelerator: https://barvinn.readthedocs.io/en/latest/

Awesome Deeplearning Tutorials ⭐ 47

Links to useful online tutorials etc. about deep learning

Ai8x Synthesis ⭐ 46

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 AI Devices

Recursive Self-Organizing Map/Neural Gas.

Compression schema for gradients of activations in backward pass

Auto Compression ⭐ 20

Automatic DNN compression tool with various model compression and neural architecture search techniques

Prototorch ⭐ 19

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

Tflite Tester ⭐ 15

Example project showing how we can compare TensorFlow and TensorFlow Lite models

Binary Neural Networks ⭐ 14

Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or activations to reduce computational load of convolutional neural networks.

K Means Quantization Js ⭐ 12

🎨 Apply color quantization to images using k-means clustering.

Paper Collection Of Efficient Ml ⭐ 9

paper collection

Tensorflow_model_quantization ⭐ 8

A tutorial of model quantization using TensorFlow

Something in the middle of Karpathy's mingpt model and video lectures, BabyGPT is an easy to use model on a much smaller scale (16 and 256 out channels , 5 heads, fine tuned). To be made useful on low powered devices.

Ml Incr Kmeans ⭐ 5

Incrementally partition data into `k` clusters.

Color Quant ⭐ 5

Turn a lot of colors into a few colors

News Article Vector Search ⭐ 5

Blazing fast real-time NRC search empowered with multilingual LLM and Qdrant

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