luke-dinh

codellama

Inference code for CodeLlama models

gpt-engineer

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

the-algorithm

Source code for Twitter's Recommendation Algorithm

TemporalMaxer

TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization

llama

Inference code for Llama models

CS224W-Colab

Solutions for CS224W Winter 2021 Colab

hum2song

top 1 Zalo AI challenge 2021 task hum to song

Object-Detection-API

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

ARES

Black-box tool that uses Deep Reinforcement Learning to test and explore Android applications

MetaICL

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

BicycleGAN

Toward Multimodal Image-to-Image Translation

torcharrow

High performance model preprocessing library on PyTorch

OpenNE

An Open-Source Package for Network Embedding (NE)

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Learning_CS224w

My approach to CS224w [AT] Stanford 2019 : )

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

CS224W_Winter2021

CS224W Stanford Winter 2021 Homework solutions

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

NeuralNetworks

mix3d

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

GraphNN-Multi-Object-Tracking

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

Unofficial-Pix2Seq

Unofficial implementation of Pix2SEQ

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)