- Illinois, US
- https://chrislevn.github.io/
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SadServers: Linux & DevOps Troubleshooting Scenarios SaaS
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perf…
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Representation Engineering: A Top-Down Approach to AI Transparency
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, manag…
Open source platform for the machine learning lifecycle
See cost estimates for Terraform right in your editor💰📉
Sample solution for MLOps Marathon 2023
A web app that allows artists to share their artworks easily.
Lyrics Recognition using Deep Learning Techniques
An scalable serverless end-to-end photo-sharing application made from 11 Google Cloud components
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A WebGL accelerated JavaScript library for training and deploying ML models.
The Package Manager for the Swift Programming Language
A resource repository for 3D machine learning
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis, CVPR 2020
My Collected Notebooks for Deep Learning
A very simple generative adversarial network (GAN) in PyTorch
Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed
A Simple and Accurate Neural Network Model for Irony Detection in Twitter
An NLP analysis on App Store reviews of top meditation apps
Web-based Cloud Gaming service for Retro Game
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.