-
IBM Research
- http://mayankagarwal.github.io/
- @mayankagarwal__
Lists (5)
Sort Name ascending (A-Z)
Stars
Reference implementation for DPO (Direct Preference Optimization)
A bibliography and survey of the papers surrounding o1
Efficient Triton Kernels for LLM Training
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
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
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
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
PyTorch package to train and audit ML models for Individual Fairness
Publicly available structured COVID-19 data from India, extracted automatically from daily health bulletins published by state governments.
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
Save Jupyter Notebooks as PDF
Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
Various tutorials given for welcoming new students at MILA.