Pinned Repositories
mlir-tcp
Tensor Compute Primitives: Mid-level Intermediate Representation for Machine Learning Programs
torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
CS231N
My solutions to CS231N (Convolutional Neural Networks for Visual Recognition, Spring 2017)
deep-route
Training a deep FCN network in PyTorch to route circuit layouts
SCM-PLL
Self consistent model based filter design for 3-phase PLLs.
finn
Dataflow compiler for QNN inference on FPGAs
finn-base
Open Source Compiler Framework using ONNX as Frontend and IR
graffitist
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
sjain-stanford's Repositories
sjain-stanford/deep-route
Training a deep FCN network in PyTorch to route circuit layouts
sjain-stanford/SCM-PLL
Self consistent model based filter design for 3-phase PLLs.
sjain-stanford/bazel-compile-commands-extractor
Goal: Enable awesome tooling for Bazel users of the C language family.
sjain-stanford/caffe-tensorflow
Caffe models in TensorFlow (requires python 2.7)
sjain-stanford/char-rnn
Character level language model using vanilla RNN and LSTM.
sjain-stanford/cme211-notes
CME211 Notes | Outline ->
sjain-stanford/cnpy
library to read/write .npy and .npz files in C/C++
sjain-stanford/compiler-explorer
Run compilers interactively from your web browser and interact with the assembly
sjain-stanford/copybara
Copybara: A tool for transforming and moving code between repositories.
sjain-stanford/cuda-c
CUDA by Example.
sjain-stanford/darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
sjain-stanford/devicehive-video-analysis
sjain-stanford/DW2TF
Darknet Weights to TensorFlow
sjain-stanford/examples
Examples for Bazel
sjain-stanford/finn
Fast, Scalable Quantized Neural Network Inference on FPGAs
sjain-stanford/gemmlowp
Low-precision matrix multiplication
sjain-stanford/graffitist-fork
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
sjain-stanford/mlir-tcp
Tensor Compute Primitives (Mid-level Intermediate Representation for Machine Learning Programs)
sjain-stanford/mlir-tutorial
MLIR For Beginners tutorial
sjain-stanford/mlir-www
sjain-stanford/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
sjain-stanford/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sjain-stanford/stablehlo
Backward compatible ML compute opset inspired by HLO/MHLO
sjain-stanford/tensorflow
An Open Source Machine Learning Framework for Everyone
sjain-stanford/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
sjain-stanford/TensorRT-Incubator
Experimental projects related to TensorRT
sjain-stanford/torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
sjain-stanford/torch-mlir-release
Automated releases for torch-mlir's python wheels
sjain-stanford/unet
unet for image segmentation
sjain-stanford/wrkstn-setup
Deep learning workstation setup for RHEL/Ubuntu with Tensorflow/Keras/PyTorch and NVIDIA GeForce GTX 1080 Ti.