Stars
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
Universal LLM Deployment Engine with ML Compilation
FlashInfer: Kernel Library for LLM Serving
Open-source high-performance RISC-V processor
stanford-futuredata / pop-ncflow
Forked from netcontract/ncflowCode for POP (SOSP 2021) and NCFlow (NSDI 2021)
This is a list of interesting papers and projects about TinyML.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Hydra is a framework for elegantly configuring complex applications
🏡 Open source home automation that puts local control and privacy first.
A curated list of awesome things related to Django
SLAM-Lab / DeepThings
Forked from zoranzhao/DeepThingsA Portable C Library for Distributed CNN Inference on IoT Edge Clusters
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Activity Recognition Algorithms for the Charades Dataset
Train I3D model on ucf101 or hmdb51 by tensorflow
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning