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Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
DSPy: The framework for programming—not prompting—foundation models
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Deep Reinforcement Learning: Zero to Hero!
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Master programming by recreating your favorite technologies from scratch.
A resource to help you become good at system design.
Code for the streamlit demo of Scrapegraph-ai for GPT4-hackaton
Awesome-LLM: a curated list of Large Language Model
Playing Pokemon Red with Reinforcement Learning
This Python script is able to scrape all the IT Companies which is located in Indore, MP in a automate fashion, like it will scrape all the companies information from page 1 to page 70
This is a repository for the paper: "Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule" M Saponati, M Vinck (Nature Communications, 2023)
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily a…
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
A toolbox to iNNvestigate neural networks' predictions!
Latex code for making neural networks diagrams