#
Starred repositories
All pdfs of Victor Eijkhout's Art of HPC books and courses
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Unofficial implementation of LSQ-Net, a neural network quantization framework
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
Development repository for the Triton language and compiler
An Open-source Toolkit for LLM Development
Course notes for CS228: Probabilistic Graphical Models.
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
Style guides for Google-originated open-source projects
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
📟 Links to others' solutions to Projects (https://github.com/karan/Projects/)
[Archived] Arduino core supporting mbed-enabled boards
Source code for the book Core ML Survival Guide
Pytorch implementation of convolutional neural network visualization techniques
cGAN-based Multi Organ Nuclei Segmentation
Python Whole Slide Image Preprocessing
A list of Medical imaging datasets.
This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei in histology images
Python modules to work with large multiresolution images.
A Python toolkit for pathology image analysis algorithms.
Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019.
Medical Image Registration
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
The "Python Machine Learning (1st edition)" book code repository and info resource