DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
Public repository by AlbertOh90. Primary language: Jupyter Notebook.
This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
ProxQuant: Quantized Neural Networks via Proximal Operators
Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
DNN quantization with outlier channel splitting (ICML'19)
Code for reproducing Flow ++ experiments
Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Quantization of Convolutional Neural networks.
Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
Code example for the ICLR 2018 oral paper
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"
This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Networks"
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
Public repository by eladhoffer. Primary language: Python.
Training Low-bits DNNs with Stochastic Quantization
Binary Convolution Network for faster real-time processing in ASICs
A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation
Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
Caffe Implementation for Incremental network quantization
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian…
Training Deep Neural Networks with binary weights during propagations
Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
The official Python client library for the Massive.com REST and WebSocket API.
Billtrust is the only B2B Cash Generation Platform that converts earned revenue into cash you can predict, defend, and deploy.
Enterprise order-to-cash automation for high-volume B2B billing. Independent 5-dimension score and pricing, plus the full breakdown — verified May 2026.
Python package for bulk downloading SEC EDGAR filings for text and document analysis.
A Python library for mathematical finance
C++ - High-performance ETF pattern matching via DTW with cosine pre-filtering. 43× DTW and 58× pattern-match speedup over pure Python using pybind11/C++20.…
