AakashKumarNain

Aakash Kumar Nain's starred repositories

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Language:Jupyter NotebookMIT44221 393 81

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookApache-2.031028 329 54

tuning_playbook

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

NOASSERTION25369 278 34

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonNOASSERTION21975 403 285

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

Language:PythonMIT10400 424 27

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

9590 225 92

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Language:PythonMIT8340 79 31

ImageBind

ImageBind One Embedding Space to Bind Them All

Language:PythonNOASSERTION7953 99 83

magika

Detect file content types with deep learning

Language:PythonApache-2.07439 36 317

tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Language:SystemVerilog6151 56 19

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Language:PythonBSD-3-Clause5220 59 86

open_flamingo

An open-source framework for training large multimodal models.

Language:PythonMIT3504 47 168

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Language:PythonBSD-3-Clause2001 21 291

penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

Language:PythonApache-2.01479 15 10

keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

Language:PythonApache-2.01265 27 172

Lumina-T2X

Lumina-T2X is a unified framework for Text to Any Modality Generation

Language:PythonMIT1135 22 25

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

Language:PythonApache-2.01076 19 6

CRNN_Tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

Language:PythonMIT1033 48 398

keras-cv

Industry-strength Computer Vision workflows with Keras

Language:PythonNOASSERTION956 29 971

tpu-starter

Everything you want to know about Google Cloud TPU

Language:PythonCC0-1.0465 8 2

paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

Language:PythonApache-2.0410 16 17