kaushik333

LLM101n

LLM101n: Let's build a Storyteller

langroid

Harness LLMs with Multi-Agent Programming

gns

Graph Network Simulator

simple_gpu_scheduler

Simple scheduler for running jobs on GPUs

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

makemore

An autoregressive character-level language model for making more things

Practical-Machine-Learning

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

Awesome-Data-Science-Resoruces

A curated list of data science educational resources for essential data science skills

hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

SA-SSD

SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)

Signal-Android

A private messenger for Android.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision

info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

TTN

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web