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llama3 implementation one matrix multiplication at a time
Java Developer Interview Preparation Materials
Bootstrap Kubernetes the hard way. No scripts.
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A curriculum for learning about foundation models, from scratch to the frontier
A Native-PyTorch Library for LLM Fine-tuning
A playbook for systematically maximizing the performance of deep learning models.
🎓 Path to a free self-taught education in Computer Science!
A curated list of data science blogs
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Pretrained language model with 100B parameters
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
The official PyTorch implementation of Google's Gemma models
This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
An autoregressive character-level language model for making more things
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Neural Networks: Zero to Hero