Lists (5)
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A high-performance algorithmic trading platform and event-driven backtester
CGRA-Flow is an integrated framework for CGRA compilation, exploration, synthesis, and development.
NeuroSpector: Dataflow and Mapping Optimizer for Deep Neural Network Accelerators
A pytorch version of frustum-pointnets
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
A Python library for large-scale nearest neigbhor computations via k-d trees and GPUs.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Benchmark suite for embedded autonomous vehicle application
An end-to-end benchmark suite of multi-modal DNN applications for system-architecture co-design
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
An analytical framework that models hardware dataflow of tensor applications on spatial architectures using the relation-centric notation.
Mnemosyne: Multi-Bank Memories for Heterogeneous Architectures
🚀 A very efficient Texas Holdem GTO solver
This is the implementation of the paper [Optimus: Towards Optimal Layer-Fusion on Deep Learning Processors].
Prototype-network-on-chip (ProNoC) is an EDA tool that facilitates prototyping of custom heterogeneous NoC-based many-core-SoC (MCSoC).
RaveNoC is a configurable HDL NoC (Network-On-Chip) suitable for MPSoCs and different MP applications
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
RTL implementation of Flex-DPE.
Repository to host and maintain SCALE-Sim code
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
A open source reimplementation of Google's Tensor Processing Unit (TPU).
Classical equations and diagrams in machine learning