Laxya Agarwal's Projects
state of the art models
VIP cheatsheets for Stanford's CS 229 Machine Learning
š¤ Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
Solutions to Stanford CS231n Spring 2018 Course Assignments.
Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
StyleGAN2 - Official TensorFlow Implementation
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Let's make sand talk
Repository for the slides of the Technical Tuesdays Seminar Series
Serve machine learning models using tensorflow serving
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Pretrained models for TensorFlow.js
TFRecord reader for PyTorch
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
a very good whiteboard
Language model finetuning on NER with an easy interface, and cross-domain evaluation. We released NER models finetuned on various domain via huggingface model hub.
Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Transcribe is OpenAI's chatGPT based live transcription, conversation platform. It provides live transcripts from microphone input and audio output speaker. It optionally generates a suggested conversation response using OpenAI's GPT API. It is very effective in providing relevant responses for the current conversation.
š¤ Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.