thejishnunair

LLM101n

LLM101n: Let's build a Storyteller

SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

makeMoE

From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CTranslate2

Fast inference engine for Transformer models

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

nlp_course

YSDA course in Natural Language Processing

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

Tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

PySNC

Python API for ServiceNow

multilingual-t5

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

LeetCode_Algorithms

A collection of solutions for Medium/Hard LeetCode problems. Educational resource

Kaggler

Code for Kaggle Data Science Competitions

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

ml-engineer-roadmap

WIP: Roadmap to becoming a machine learning engineer in 2020

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

black

The uncompromising Python code formatter

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

dlaicourse

Notebooks for learning deep learning

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Websites-clone

An attempt to clone some popular websites

ML-Bootcamp-Launchpad

Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.