benja263 / Integer-Only-Inference-for-Deep-Learning-in-Native-CLinks
Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.
☆25Updated 4 years ago
Alternatives and similar repositories for Integer-Only-Inference-for-Deep-Learning-in-Native-C
Users that are interested in Integer-Only-Inference-for-Deep-Learning-in-Native-C are comparing it to the libraries listed below
Sorting:
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆175Updated this week
- Fork of upstream onnxruntime focused on supporting risc-v accelerators☆88Updated 2 years ago
- Tool for the deployment and analysis of TinyML applications on TFLM and MicroTVM backends☆32Updated last week
- This is the open-source version of TinyTS. The code is dirty so far. We may clean the code in the future.☆19Updated 5 months ago
- muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.☆91Updated 4 months ago
- ☆33Updated 2 years ago
- LCAI-TIHU SW is a software stack of the AI inference processor based on RISC-V☆23Updated 3 years ago
- ☆40Updated last year
- A tool to deploy Deep Neural Networks on PULP-based SoC's☆94Updated 6 months ago
- ☆29Updated 4 years ago
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.☆40Updated last month
- Curated content for DNN approximation, acceleration ... with a focus on hardware accelerator and deployment☆27Updated last year
- Low Precision(quantized) Yolov5☆46Updated 10 months ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆48Updated 5 years ago
- ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference☆184Updated last month
- A library to train and deploy quantised Deep Neural Networks☆26Updated last year
- Machine-Learning Accelerator System Exploration Tools☆197Updated 2 weeks ago
- SAMO: Streaming Architecture Mapping Optimisation☆34Updated 2 years ago
- A Toy-Purpose TPU Simulator☆21Updated last year
- FRAME: Fast Roofline Analytical Modeling and Estimation☆39Updated 2 years ago
- A survey on Hardware Accelerated LLMs☆61Updated last year
- News and Paper Collections for Machine Learning Hardware☆22Updated 2 months ago
- HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference☆54Updated last year
- Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop☆62Updated 3 months ago
- Learn NVDLA by SOMNIA☆42Updated 6 years ago
- ☆170Updated 2 years ago
- TensorCore Vector Processor for Deep Learning - Google Summer of Code Project☆24Updated 4 years ago
- Torch2Chip (MLSys, 2024)☆55Updated 10 months ago
- ☆119Updated 2 years ago
- CSV spreadsheets and other material for AI accelerator survey papers☆189Updated 2 months ago