infinitylogesh

mutate

A library to synthesize text datasets using Large Language Models (LLM)

Bespoke_LLMs_TALK

Slides and code for Bespoke LLMs : Adapting OSS LLMs for your use case.

Interpretable-NLP-Talk

Hack Session on Interpreting NLP models at DataHack Summit 2019.

language-detection-fasttext

Sample code illustrating FastText's pre-trained language Identification model usage

Colab_Transformers

Colab notebooks and code used for training and inferencing BERT and other transformer models from pytorch transformers

NLP_paper_notes

My Notes and observations of Interesting NLP papers. My interests are representation learning, Metric learning and Information retrieval

Multilabel-Transformers

A repository to finetune transformers on a multilabel classification task ( based on transformers library ).

FastTokenizersWrapper

A wrapper for Huggingface's Tokenizers library , for it to be used along with existing version of Huggingface Transformers library.

ABSA-BERT-QA

Aspect based sentiment analysis as QA problem

bigcode-evaluation-harness

A framework for the evaluation of autoregressive code generation language models.

code-eval

Run evaluation on LLMs using human-eval benchmark

dolly

flax-sentence-embeddings

Shared code for training sentence embeddings with Flax / JAX

How-to-do-more-with-less-data

Blog posts and demo on using Active learning to achieve good ML performance with less data

incoder

Generative model for code infilling and synthesis

infinitylogesh.github.io

My Blog

keras-scaffolding

A scaffolding for keras and tensorflow with some callbacks , metrics and logs inbuilt.

medmcqa.github.io

MicroLMs

Implementation of common LM architectures and training Micro LMs of the arch.

open-interpreter

A natural language interface for computers

probability_simulations

Simulations of probability problems and concepts

SA-Sent

Implementation for SA-LSTM

santacoder-finetuning

Fine-tune SantaCoder for Code/Text Generation.

se-pytorch-xla

sentence-transformers

Sentence Embeddings with BERT & XLNet

Speculative-Sampling

Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

Wizcoder_benchmark

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.