# hls4ml

## Docs

- [FIFO Depth Optimization](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/fifo-depth.md): Optimize FIFO buffer sizes in streaming architectures
- [Model Optimization](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/optimization.md): Hardware-aware model optimization with pruning and weight sharing
- [Backend Plugins](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/plugins.md): Extend hls4ml with custom backends and hardware targets
- [Precision Tuning](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/precision-tuning.md): Advanced precision configuration and automatic inference techniques
- [Model Profiling](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/profiling.md): Profile and analyze model weights, activations, and layer-by-layer outputs
- [Quantization with QKeras](https://mintlify.wiki/fastmachinelearning/hls4ml/advanced/quantization.md): Use QKeras for quantization-aware training and binary/ternary networks
- [Backend Base](https://mintlify.wiki/fastmachinelearning/hls4ml/api/backends/backend.md): Base backend class and common functionality
- [FPGA Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/api/backends/fpga.md): Base FPGA backend with common HLS functionality
- [Keras Converter](https://mintlify.wiki/fastmachinelearning/hls4ml/api/converters/keras.md): Convert Keras models to HLS
- [ONNX Converter](https://mintlify.wiki/fastmachinelearning/hls4ml/api/converters/onnx.md): Convert ONNX models to HLS
- [PyTorch Converter](https://mintlify.wiki/fastmachinelearning/hls4ml/api/converters/pytorch.md): Convert PyTorch models to HLS
- [Graph Structure](https://mintlify.wiki/fastmachinelearning/hls4ml/api/model/graph.md): Layer graph and data flow management
- [ModelGraph](https://mintlify.wiki/fastmachinelearning/hls4ml/api/model/model.md): Core model graph representation and operations
- [Model Optimizer](https://mintlify.wiki/fastmachinelearning/hls4ml/api/model/optimizer.md): Optimization passes and transformations
- [API Overview](https://mintlify.wiki/fastmachinelearning/hls4ml/api/overview.md): Complete API reference for hls4ml
- [Configuration](https://mintlify.wiki/fastmachinelearning/hls4ml/api/utils/config.md): Configuration utilities and helpers
- [Report Utilities](https://mintlify.wiki/fastmachinelearning/hls4ml/api/utils/report.md): Parse and analyze synthesis reports
- [Catapult Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/backends/catapult.md): Deploy neural networks on FPGAs and ASICs using Siemens Catapult HLS
- [oneAPI Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/backends/oneapi.md): Deploy neural networks on Intel/Altera FPGAs using Intel oneAPI
- [Quartus Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/backends/quartus.md): Deploy neural networks on Intel/Altera FPGAs using Intel HLS
- [Vitis Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/backends/vitis.md): Deploy neural networks on AMD/Xilinx FPGAs using Vitis HLS
- [Vivado Backend](https://mintlify.wiki/fastmachinelearning/hls4ml/backends/vivado.md): Deploy neural networks on AMD/Xilinx FPGAs using Vivado HLS
- [HLS Backends](https://mintlify.wiki/fastmachinelearning/hls4ml/concepts/hls-backends.md): Understanding the different HLS backend options and their trade-offs
- [Model Conversion](https://mintlify.wiki/fastmachinelearning/hls4ml/concepts/model-conversion.md): Converting ML models to optimized FPGA firmware
- [Overview](https://mintlify.wiki/fastmachinelearning/hls4ml/concepts/overview.md): Understanding hls4ml's architecture and conversion pipeline
- [Precision Optimization](https://mintlify.wiki/fastmachinelearning/hls4ml/concepts/precision-optimization.md): Mastering fixed-point arithmetic and precision configuration for optimal FPGA performance
- [FAQ](https://mintlify.wiki/fastmachinelearning/hls4ml/faq.md): Frequently asked questions and troubleshooting for hls4ml
- [Keras Frontend](https://mintlify.wiki/fastmachinelearning/hls4ml/frontends/keras.md): Convert Keras/TensorFlow models to FPGA firmware with hls4ml
- [ONNX Frontend](https://mintlify.wiki/fastmachinelearning/hls4ml/frontends/onnx.md): Convert ONNX models to FPGA firmware with hls4ml
- [PyTorch Frontend](https://mintlify.wiki/fastmachinelearning/hls4ml/frontends/pytorch.md): Convert PyTorch models to FPGA firmware with hls4ml
- [Installation](https://mintlify.wiki/fastmachinelearning/hls4ml/installation.md): Complete installation guide for hls4ml and its dependencies
- [Optimization Flows](https://mintlify.wiki/fastmachinelearning/hls4ml/internals/flows.md): Understanding optimization passes and the flow system in hls4ml
- [Intermediate Representation (IR)](https://mintlify.wiki/fastmachinelearning/hls4ml/internals/ir.md): Understanding hls4ml's layer-based intermediate representation system
- [Model Graph](https://mintlify.wiki/fastmachinelearning/hls4ml/internals/model-graph.md): Graph structure, operations, and transformations in hls4ml
- [Introduction](https://mintlify.wiki/fastmachinelearning/hls4ml/introduction.md): Machine learning inference in FPGAs using high-level synthesis
- [Quickstart](https://mintlify.wiki/fastmachinelearning/hls4ml/quickstart.md): Get started with hls4ml in minutes - from installation to your first FPGA model