Curated list of project-based tutorials

A list of awesome papers on LLM tool learning.

This is the repository for the Tool Learning survey.

Reference implementation for DPO (Direct Preference Optimization)

AllenAI's post-training codebase

A bibliography and survey of the papers surrounding o1

Efficient Triton Kernels for LLM Training

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

Matplotlib styles for scientific plotting

A collaborative catalog of NLP resources for Indic languages

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

🌐 Wikipedia for Web APIs. Directory of REST API definitions in OpenAPI 2.0/3.x format

LLM inference in C/C++

Minimalistic large language model 3D-parallelism training

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

Machine Learning Engineering Open Book

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Solve puzzles. Learn CUDA.

Structured Text Generation

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

PyTorch package to train and audit ML models for Individual Fairness

Latex code for making neural networks diagrams

C++ Implementation of PyTorch Tutorials for Everyone

A library for federated learning (a distributed machine learning process) in an enterprise environment.

resources about federated learning and privacy in machine learning

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