Name: Jaidev Shah
Type: User
Company: Columbia University
Bio: Columbia '21, '23.
Quant Research @coinbase.
Previously @microsoft, @amazon.
Passionate about Deep Learning, Data Science and Research
Twitter: JaidevShah4
Location: New York, New York
Jaidev Shah's Projects
:robot: Robotic navigation leveraging UWB (Ultra-Wideband) technology (C++) , Cisco
A data augmentations library for audio, image, text, and video.
How to do Bayesian statistical modelling using numpy and PyMC3
All the projects related to Llama
:computer: [Competitive Programming] This Repo consists of my solutions in Python 3 to various problems of [HackerRank, Leetcode, Codeforces, Code Chef etc.]
A Phantom security automation app for Code42 -Python- Crest Data Systems Security Software Engineering Internship Summer '18
Python SDK for the Microsoft Emotion API, part of Cognitive Services
CompetetiveCodingPython
Customer churn prediction using MLPs (Through simple ANNs -> Keras Sequential Models)
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
my implementation of a fgsa attack on a VGG model
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Specify what you want it to build, the AI asks for clarification, and then builds it.
Globe Engineer - Handkerchief: A higher quality alternative to vector database RAG.
Hate-speech and offensive language detection model using various Machine Learning and NLP techniques and labeled Twitter data
DL4CV 2020
A chaotic compilation of papers and resources I've used across Vision, NLP, Deep RL, Generative Models and Adversarial Attacks
[🏆 Best Use of AWS AI/ML Services at HackMIT] JustInCase -- HackMIT 2019
HackGPT 2023 (NYC)
Product Task: Propose a solution that helps users remotely find an apartment in a new city
Maximum a priori inference algorithm for matrix completion through factorization on a user-movie ratings dataset
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai