Pinned Repositories
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
decoding-keras
dogs-dataset
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
iGAN
Interactive Image Generation via Generative Adversarial Networks
ml-class
Machine learning lessons and teaching projects designed for engineers
neural_networks
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
udacity-model_evaluation
ML: Model Evaluation + Foundations
lavanyashukla's Repositories
lavanyashukla/neural_networks
lavanyashukla/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
lavanyashukla/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
lavanyashukla/decoding-keras
lavanyashukla/dogs-dataset
lavanyashukla/lucid
A collection of infrastructure and tools for research in neural network interpretability.
lavanyashukla/aitools
lavanyashukla/aitools-website
AI Tools Website
lavanyashukla/CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
lavanyashukla/deeplearning-models
A collection of various deep learning architectures, models, and tips
lavanyashukla/DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
lavanyashukla/difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
lavanyashukla/docker-python
Kaggle Python docker image
lavanyashukla/edu
Educational materials on deep learning by Weights & Biases
lavanyashukla/examples
Example deep learning projects that use wandb's features.
lavanyashukla/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
lavanyashukla/genai
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
lavanyashukla/ignite
High-level library to help with training neural networks in PyTorch
lavanyashukla/Keras-GAN
Keras implementations of Generative Adversarial Networks.
lavanyashukla/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
lavanyashukla/llms-base
lavanyashukla/ml-fairness-gym
lavanyashukla/otto
lavanyashukla/pachyderm
Reproducible Data Science at Scale!
lavanyashukla/random-forest
Random forest for classification and regression.
lavanyashukla/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
lavanyashukla/roam-themes
lavanyashukla/simpsons-dataset
lavanyashukla/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
lavanyashukla/vega-lite
A concise grammar of interactive graphics, built on Vega.