manojsukhavasi's Stars
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
uNetworking/uWebSockets
Simple, secure & standards compliant web server for the most demanding of applications
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
google-deepmind/alphafold
Open source code for AlphaFold.
madd86/awesome-system-design
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
shashank88/system_design
Preparation links and resources for system design questions
prasadgujar/low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
google-deepmind/dm-haiku
JAX-based neural network library
tensorflow/ranking
Learning to Rank in TensorFlow
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
futurice/backend-best-practices
An evolving description of general best practices for backend development.
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
omry/omegaconf
Flexible Python configuration system. The last one you will ever need.
The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
asteroid-team/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
onnx/sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
GT-RIPL/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
xLaszlo/datascience-fails
Collection of articles listing reasons why data science projects fail.
Thann/play-with-mpv
Chrome extension that allows you to play videos in webpages like youtube with MPV instead
google-research/task_adaptation
DeMoriarty/TorchPQ
Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
dair-ai/emotion_dataset
:smile: Dataset for Emotion Recognition Research
tensorflow/tfx-addons
Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group
ankandrew/online-label-smoothing-pt
Implementation of Online Label Smoothing in PyTorch