thevasudevgupta

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.

dash

Data Apps & Dashboards for Python. No JavaScript Required.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

peft

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

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

open_clip

An open source implementation of CLIP.

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

AITemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

open_flamingo

An open-source framework for training large multimodal models.

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

torchscale

Foundation Architecture for (M)LLMs

galai

Model API for GALACTICA

safetensors

Simple, safe way to store and distribute tensors

ddim

Denoising Diffusion Implicit Models

streaming

A Data Streaming Library for Efficient Neural Network Training

codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

datacomp

DataComp: In search of the next generation of multimodal datasets

transformers-bloom-inference

Fast Inference Solutions for BLOOM

lambda-diffusers

SimCTG

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.

olm-datasets

Pipeline for pulling and processing online language model pretraining data from the web

jax-smi

JAX Synergistic Memory Inspector

transformers_without_tears

Transformers without Tears: Improving the Normalization of Self-Attention

gsoc-wav2vec2

GSoC'2021 | TensorFlow implementation of Wav2Vec2

streamlit-tensorboard

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

count-tokens-hf-datasets

This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Dataflow.

gpu-programming

GPU Programming @ IIT Madras