Pinned Repositories
cuda-pathtrace
A realtime photorealistic pathtracer implemented in CUDA, using a convolutional neural network denoising algorithm
deep-gbuffers
Implementation of "Fast Global Illumination Approximations on Deep G-Buffers" (Mara et. al, 2016) using C++, OpenGL, and GLSL
deep-tor-detection
Using deep learning to distinguish between Tor and nonTor traffic
DeepLearningExamples
Deep Learning Examples
gpu-pathtracer
A real-time photorealistic path tracer using OpenGL GPU Compute Shaders
raytracer
A multithreaded Whitted ray tracer (C++) which supports reflection, refraction, shadows, interpolated textures and normals, color and intersection shaders, as well as Monte Carlo anti-aliasing, depth-of-field, and BSSSRDFs
reyes-renderer
A REYES-style micropolygon renderer written in C++ which implements a subset of the RenderMan specification.
tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow-bicubic-downsample
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
tensorflow-SRGAN
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
trevor-m's Repositories
trevor-m/deep-gbuffers
Implementation of "Fast Global Illumination Approximations on Deep G-Buffers" (Mara et. al, 2016) using C++, OpenGL, and GLSL
trevor-m/tensorflow-SRGAN
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
trevor-m/tensorflow-bicubic-downsample
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
trevor-m/reyes-renderer
A REYES-style micropolygon renderer written in C++ which implements a subset of the RenderMan specification.
trevor-m/raytracer
A multithreaded Whitted ray tracer (C++) which supports reflection, refraction, shadows, interpolated textures and normals, color and intersection shaders, as well as Monte Carlo anti-aliasing, depth-of-field, and BSSSRDFs
trevor-m/cuda-pathtrace
A realtime photorealistic pathtracer implemented in CUDA, using a convolutional neural network denoising algorithm
trevor-m/gpu-pathtracer
A real-time photorealistic path tracer using OpenGL GPU Compute Shaders
trevor-m/deep-tor-detection
Using deep learning to distinguish between Tor and nonTor traffic
trevor-m/DeepLearningExamples
Deep Learning Examples
trevor-m/tensorflow
An Open Source Machine Learning Framework for Everyone
trevor-m/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
trevor-m/neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
trevor-m/bert
TensorFlow code and pre-trained models for BERT
trevor-m/cyclegan-audio
trevor-m/fastT5
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
trevor-m/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
trevor-m/iree
A retargetable MLIR-based machine learning compiler and runtime toolkit.
trevor-m/llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
trevor-m/models
Models and examples built with TensorFlow
trevor-m/naives-bayes-movie-reviews
Naive Bayes classifier to detect whether movie reviews are positive or negative (won 2nd place)
trevor-m/nccl
Optimized primitives for collective multi-GPU communication
trevor-m/neo-loader
trevor-m/OpenSeq2Seq
Toolkit for efficient experimentation with various sequence-to-sequence models
trevor-m/openxla-pjrt-plugin
PJRT plugin for interfacing the OpenXLA compiler to Jax, PyTorch/XLA and TensorFlow
trevor-m/tensorflow-tensorrt
TensorFlow/TensorRT integration
trevor-m/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
trevor-m/tf-addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
trevor-m/TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.
trevor-m/treelite
model compiler for decision tree ensembles
trevor-m/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators