Stars
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Synthetic data generators for tabular and time-series data
Documentation for Ross Wightman's timm image model library
Data Quality assessment with one line of code
Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
XLNet: Generalized Autoregressive Pretraining for Language Understanding
A modular active learning framework for Python
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Colab notebooks to run a basic AI Dungeon clone using gpt-neo-2.7B
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Intervie…
State-of-the-Art Text Embeddings
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Scripts for running nvidia-docker on Amazon EC2.
Automated Binance trading bot - Trade multiple cryptocurrencies. Buy low/sell high with Grid Trading. Integrated with TradingView technical analysis
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Discovering Interpretable GAN Controls [NeurIPS 2020]
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Tensorflow implementation of PID optimization
🏆 Kaggle 8th place solution
For extensive instructor led learning