mmkamani7
Senior Research Scientist at AMD. Working on Efficient Gen AI, Federated Learning, Distributed Optimization, Model Compression, and Edge AI.
AMDBellevue, WA
mmkamani7's Stars
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
visenger/awesome-mlops
A curated list of references for MLOps
OpenMined/PySyft
Perform data science on data that remains in someone else's server
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
RangiLyu/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
flashlight/flashlight
A C++ standalone library for machine learning
adap/flower
Flower: A Friendly Federated Learning Framework
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
lightly-ai/lightly
A python library for self-supervised learning on images.
samjabrahams/tensorflow-on-raspberry-pi
TensorFlow for Raspberry Pi
cvxgrp/cvxpylayers
Differentiable convex optimization layers
microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
haotian-liu/yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
facebookresearch/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
julrog/nn_vis
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
google-research/robustness_metrics
twangnh/Distilling-Object-Detectors
Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation
XiaoMi/mobile-ai-bench
Benchmarking Neural Network Inference on Mobile Devices
eemlcommunity/PracticalSessions2020
Repository for tutorial sessions at EEML2020
nmilosev/pytorch-arm-builds
Unofficial PyTorch and torchvision builds for ARM devices
prophesee-ai/prophesee-automotive-dataset-toolbox
A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
IBM/OoD
Repository for theory and methods for Out-of-Distribution (OoD) generalization
ShangtongZhang/rebib
Retrieve information from DBLP and update BibTex files automatically
JunjieYang97/stocBiO
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"