eddiesmo
https://www.linkedin.com/in/eddiesmo CEO & Co-Founder @ConnectedPapers Previously CV & ML Lead @alibaba Israel Head of Research @Visualead
@ConnectedPapers Israel - Tel Aviv
eddiesmo's Stars
satwikkansal/wtfpython
What the f*ck Python? 😱
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
zziz/pwc
This repository is no longer maintained.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
allenai/allennlp
An open-source NLP research library, built on PyTorch.
NVIDIA/FastPhotoStyle
Style transfer, deep learning, feature transform
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
ramboxapp/community-edition
Free and Open Source messaging and emailing app that combines common web applications into one.
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
python-attrs/attrs
Python Classes Without Boilerplate
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
Instagram/MonkeyType
A Python library that generates static type annotations by collecting runtime types
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
foolwood/benchmark_results
Visual Tracking Paper List
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
catalyst-team/catalyst
Accelerated deep learning R&D
melodyguan/enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
HRNet/HigherHRNet-Human-Pose-Estimation
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
hunkim/deep_architecture_genealogy
Deep Learning Architecture Genealogy Project
markdtw/awesome-architecture-search
A curated list of awesome architecture search resources
rstojnic/lazydata
Lazydata: Scalable data dependencies for Python projects
automl/HpBandSter
a distributed Hyperband implementation on Steroids
MarvinTeichmann/ConvCRF
This repository contains the reference implementation for our proposed Convolutional CRFs.
KanHarI/gpt-commit-summarizer
kevin-hanselman/dud
A lightweight CLI tool for versioning data alongside source code and building data pipelines.
philferriere/tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
danamoroz/WoundsKP2D