gosiqueira's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
k88hudson/git-flight-rules
Flight rules for git
faif/python-patterns
A collection of design patterns/idioms in Python
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
visenger/awesome-mlops
A curated list of references for MLOps
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
facebookresearch/AugLy
A data augmentations library for audio, image, text, and video.
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
iterative/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
fishercoder1534/Leetcode
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
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.
xinghaochen/awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
Lightning-AI/torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
CalculatedContent/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
openai/supervised-reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
ShiqiYu/OpenGait
A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
pylabel-project/pylabel
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
mtfoley/pr-compliance-action
Check PR for compliance on title, linked issues, and files changed
TomFrederik/grokking
Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
k-stacke/representation-shift
This is the official code of the Representation Shift metric from "Measuring Domain Shift for Deep Learning in Histopathology" by Stacke et al.
tprei/semcomp-beta-go
Recursos utilizados no minicurso de Go