DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 2,233–2,268 of 14,444 resources
Common API standard for financial data sharing.
Global regulatory perspectives on FinTech.
Open-source standards and projects for finance.
AML risk intelligence and screening
AI-powered fraud detection for financial institutions.
Fraud prevention and risk management platform
APIs for creating and managing virtual and physical cards
APIs for payments, billing, and financial workflows
E-commerce fraud and chargeback protection
Developer APIs for banking data access
Security standards for handling cardholder data
Framework enabling secure data sharing between banks and third parties
Personal finance and budgeting app.
Small business lending and cash flow tools
Machine-learning-based fraud detection for payments
Practical guides for payment integration
Tutorials and use cases for open banking
Commission-free investing platform
AI-powered identity verification services
Publication: NISP: Pruning Networks using Neuron Importance Score Propagation. Published Nov 16, 2017.
Publication: Model compression via distillation and quantization. Published Feb 15, 2018.
Publication: Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. Published Oct 1, 2015.
Open banking infrastructure for financial services.
Global identity verification APIs
Open banking APIs for payments and data access
KYC, KYB, and AML compliance platform
Open banking platform for payments and financial data.
Publication: Post-training 4-bit quantization of convolution networks for rapid-deployment. Published Oct 2, 2018.
Cross-border payments with transparent exchange rates.
Publication: Retraining-Based Iterative Weight Quantization for Deep Neural Networks. Published May 29, 2018.
Publication: Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. Published Nov 16, 2016.
Publication: And the Bit Goes Down: Revisiting the Quantization of Neural Networks. Published Jul 12, 2019.
Publication: Flexible Network Binarization with Layer-wise Priority. Published Sep 13, 2017.
Publication: BinaryConnect: Training Deep Neural Networks with binary weights during propagations. Published Nov 2, 2015.
Publication: DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. Published Jun 20, 2016.
Publication: Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. Published Jan 19, 2019.
