godhj93's Stars
jaywcjlove/awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
THU-MIG/yolov10
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
pytorch/glow
Compiler for Neural Network hardware accelerators
isaac-sim/IsaacLab
Unified framework for robot learning built on NVIDIA Isaac Sim
bazelbuild/bazelisk
A user-friendly launcher for Bazel.
inducer/pycuda
CUDA integration for Python, plus shiny features
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
pytorch/ao
PyTorch native quantization and sparsity for training and inference
Xilinx/Vitis-AI
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
Xilinx/Vitis-AI-Tutorials
ntnu-arl/aerial_gym_simulator
Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots
rezaakb/pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Livox-SDK/livox_ros_driver2
Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360.
pmorerio/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
osrf/subt_hello_world
Hello World for DARPA SubT Challenge
hmi88/what
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
french-paragon/BayesianNeuralNetwork-Tutorial-Metarepos
A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"
yaringal/DropoutUncertaintyDemos
What My Deep Model Doesn't Know...
ethz-asl/ssc_exploration
Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
levipereira/yolov9-qat
Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.
AdityaLab/pinnsformer
cooooorn/Pytorch-XNOR-Net
XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
fratopa/Mid360_simulation_plugin
Plugin for the simulation of the Livox Mid-360
biomedia-mira/stochastic_segmentation_networks
Stochastic Segmentation Networks
ratschlab/bnn_priors
Code for the paper "Bayesian Neural Network Priors Revisited"
ProtossDragoon/PlankHyundong
📍 현동이의 플랭크 자세를 3D 피규어로 만들어 박제시키기 #NeRF
tairenpiao/XNOR-popcount-GEMM-PyTorch-CPU-CUDA
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
weakipedian/reduced_rank_GP
Reduced-rank GP regression examples
meetvadera/GPED
Code for the paper "Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks" presented at UAI 2020.