Leo-Adventure / CS182-Berkeley-Deep-Learning-23SpringLinks
This repository contains materials from the author's deep learning course at UC Berkeley lectured by Prof. Sahai, including coursework, assignments, code, and notes, among other materials
☆42Updated 2 years ago
Alternatives and similar repositories for CS182-Berkeley-Deep-Learning-23Spring
Users that are interested in CS182-Berkeley-Deep-Learning-23Spring are comparing it to the libraries listed below
Sorting:
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 3 years ago
- ☆63Updated last year
- ☆100Updated 6 months ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- ☆100Updated last year
- Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch☆162Updated 6 months ago
- Official Github for Wharton STAT 4830☆55Updated this week
- Notes for UC Berkeley's Fall 2021 section of CS 61B☆11Updated 4 years ago
- CS341 for Spring 2024☆11Updated last year
- Advanced NLP, Spring 2025 https://cmu-l3.github.io/anlp-spring2025/☆71Updated 10 months ago
- ☆412Updated last year
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆81Updated this week
- ☆18Updated 2 months ago
- ☆79Updated 2 years ago
- ☆73Updated last year
- Write a fast kernel and run it on Discord. See how you compare against the best!☆68Updated last week
- ☆241Updated 3 years ago
- ☆178Updated last year
- ☆465Updated 5 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆155Updated 2 years ago
- UC Berkeley signal and system course☆84Updated 5 years ago
- ☆45Updated 10 months ago
- A guide to improve your research proposals.☆204Updated 5 years ago
- Video descriptions and minimalist Python implementations of algorithms and data structures.☆71Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆135Updated last year
- Ray and Anyscale for UC Berkeley AI Hackathon!☆11Updated 2 years ago
- This repository is an implementation of the ViT paper from scratch with tutorials on model, dataloading, training, inference, finteuning,…☆13Updated last year
- undergraduate numerical analysis course in MIT☆46Updated 5 years ago
- Course Materials for Interpretability of Large Language Models (0368.4264) at Tel Aviv University☆294Updated 2 weeks ago
- Source code for most of my course notes☆22Updated 4 years ago