singhranjodh

nanoGPT

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

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

machine-learning-interview

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

optimate

A collection of libraries to optimise AI model performances

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

ddsp

DDSP: Differentiable Digital Signal Processing

roaring

Roaring bitmaps in Go (golang), used by InfluxDB, Bleve, DataDog

mctx

Monte Carlo tree search in JAX

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

setfit

Efficient few-shot learning with Sentence Transformers

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

FederatedScope

An easy-to-use federated learning platform

skweak

skweak: A software toolkit for weak supervision applied to NLP tasks

pytorch-lr-finder

A learning rate range test implementation in PyTorch

Adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

learned_optimization

libri-light

dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.

lambeq

A high-level Python library for Quantum Natural Language Processing

KeyphraseVectorizers

Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

Multilingual-PR

Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.

permute-quantize-finetune

Using ideas from product quantization for state-of-the-art neural network compression.

classy

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Lattice

[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.

speech-to-intent-dataset

Dataset Release for Intent Classification from Speech

alana_learning_to_rank

Neural Response Ranker for Alana, Heriot-Watt University's Alexa Prize Socialbot