#cplusplus #cuda #physics_engine #artificial_life #agent_based_simulation #open_ended_evolution

https://github.com/chrxh/alien

#cuda #training #inference #transformer #bart #beam_search #sampling #bert #multilingual_nmt #gpt_2 #diverse_decoding

https://github.com/bytedance/lightseq

#cplusplus #3d #3d_perception #arm #computer_graphics #cpp #cuda #gpu #gui #machine_learning #mesh_processing #odometry #opengl #pointcloud #python #pytorch #reconstruction #registration #rendering #tensorflow #visualization

https://github.com/isl-org/Open3D

#cplusplus #cuda #deep_learning #deep_neural_networks #distributed #machine_learning #ml #neural_network

https://github.com/Oneflow-Inc/oneflow

#cplusplus #cuda #deep_learning #gpu #mlp #nerf #neural_network #real_time #rendering

https://github.com/NVlabs/tiny-cuda-nn

#cuda #3d_reconstruction #computer_graphics #computer_vision #function_approximation #machine_learning #nerf #neural_network #real_time #real_time_rendering #realtime #signed_distance_functions

https://github.com/NVlabs/instant-ngp

#cplusplus #cpp #cpp11 #cuda #deep_learning #deep_learning_library #gpu #nvidia

https://github.com/NVIDIA/cutlass

#python #cublas #cuda #cudnn #cupy #curand #cusolver #cusparse #cusparselt #cutensor #gpu #nccl #numpy #nvrtc #nvtx #rocm #scipy #tensor

https://github.com/cupy/cupy

#jupyter_notebook #3d_reconstruction #cuda #instant_ngp #nerf #pytorch #pytorch_lightning

https://github.com/kwea123/ngp_pl

#cuda

https://github.com/19reborn/NeuS2

#python #command_line_tool #console #cuda #curses #gpu #gpu_monitoring #htop #monitoring #monitoring_tool #nvidia #nvidia_smi #nvml #process_monitoring #resource_monitor #top

https://github.com/XuehaiPan/nvitop

#cplusplus #compiler #cuda #jax #machine_learning #mlir #pytorch #runtime #spirv #tensorflow #vulkan

IREE is a tool that helps run Machine Learning (ML) models on different devices, from big data centers to small mobile and edge devices. It uses a special way to convert ML models into a uniform format, making it easier to deploy them anywhere. This tool is still in the early stages but is being actively improved. Using IREE can help you scale your ML models efficiently across various platforms, making it beneficial for developers who need to deploy models in different environments.

https://github.com/iree-org/iree