KshitijAggarwal
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Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Let's train vision transformers (ViT) for cifar 10!
Implementation of papers in 100 lines of code.
Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
nivibilla / build-nanogpt
Forked from karpathy/build-nanogptVideo+code lecture on building nanoGPT from scratch
Recipes for shrinking, optimizing, customizing cutting edge vision models. đź’ś
Video+code lecture on building nanoGPT from scratch
A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!
Training Sparse Autoencoders on Language Models
A library for mechanistic interpretability of GPT-style language models
Convert PDF to markdown quickly with high accuracy
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
A classifying model that can predict in which out of 17 cities a picture was taken.
A deep-dive on the entire history of deep-learning
Go ahead and axolotl questions
llama3 implementation one matrix multiplication at a time
A self-paced course to learn Rust, one exercise at a time.
a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model
Efficient approach to speaker diarization using voice characteristics extraction
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
