kaixih Goto Github PK
Name: Kaixi Hou
Type: User
Company: @NVIDIA
Bio: Deep learning, GPUs, High performance computing
Location: Santa Clara
Kaixi Hou's Projects
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
atex
A TensorFlow Extension: GPU performance tools for TensorFlow.
bash_tricks
benchmark_gemm_fusion
benchmark_layer_norm
benchmarking_cmp_op
Benchmarking comparison operations of different data types, i.e., int, float, and double
config_files
Commonly used config files in linux
cudnn_frontend_test
A scalable code framework for CuDNN frontend APIs
cudnn_migration
Migrate your cuDNN v7 legacy APIs to cuDNN v8 frontend APIs
cudnn_repro
depthwise_conv2d_benchmark
dl_samples
Code samples to use deep learning frameworks, libraries.
flax
Flax is a neural network library for JAX that is designed for flexibility.
gpu_unified_cache
GPU-UniCache: Automatic Code Generation of Spatial Blocking for Stencils on GPUs
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
iree_playground
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
jax-toolbox
JAX-Toolbox
jax101
jax_101
kaixih.github.io
kernel_tests_public
layer_norm
learn_tensorflow
mha_einsumdense
models
Models and examples built with TensorFlow
paxml
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
praxis
slate
Slate is a Jekyll theme for GitHub Pages
tensorflow
An Open Source Machine Learning Framework for Everyone
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