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Vasudev Gupta's Projects

machine-learning-interview icon machine-learning-interview

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

nanotron icon nanotron

Minimalistic large language model 3D-parallelism training

olmo icon olmo

Modeling, training, eval, and inference code for OLMo

paperhunt icon paperhunt

Simple script for hunting trending papers everyday.

peft icon peft

Parameter-Efficient Fine-Tuning

prml-assignments icon prml-assignments

Assignments for Pattern Recognition and Machine Learning course at IIT Madras

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

quick icon quick

quick is the simple trainer built on the top of pytorch & deepspeed for making my deep learning model training more smoother & faster.

redpajama-data icon redpajama-data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

rl-playground icon rl-playground

This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.

scripts icon scripts

some simple scripts for quick testing

seq2seq-speech icon seq2seq-speech

Repository for fine-tuning Transformers 🤗 based seq2seq speech models in JAX/Flax.

tf-lightning icon tf-lightning

Small, light-weight wrapper to ease process of tf2 training with complete flexibility.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tuning_playbook icon tuning_playbook

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

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

wav2vec2-live icon wav2vec2-live

An live speech recognition using Facebooks wav2vec 2.0 model.

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